CN115841173A - Power consumption prediction and display method, device, equipment and storage medium - Google Patents
Power consumption prediction and display method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN115841173A CN115841173A CN202211378596.XA CN202211378596A CN115841173A CN 115841173 A CN115841173 A CN 115841173A CN 202211378596 A CN202211378596 A CN 202211378596A CN 115841173 A CN115841173 A CN 115841173A
- Authority
- CN
- China
- Prior art keywords
- power consumption
- user
- historical actual
- predicted
- displaying
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a method, a device, equipment and a storage medium for predicting and displaying power consumption, wherein the method comprises the following steps: acquiring historical actual power consumption and power demand change information of a user and influence on the power consumption; correcting and restoring the historical actual power consumption to obtain conventional estimated power consumption; predicting the conventional predicted power consumption to obtain a prediction result of the conventional predicted power consumption; adding the prediction result of the conventional predicted power consumption and the influence power consumption to obtain the predicted power consumption of the user; and acquiring corresponding data according to the data display requirement, inserting the data into a preset data structure, generating a visual chart, and displaying. The technical problem that the power consumption of a single user or a limited number of users cannot be accurately predicted and displayed is solved.
Description
Technical Field
The invention relates to the field of monitoring systems, in particular to a method, a device, equipment and a storage medium for predicting and displaying power consumption.
Background
The power consumption prediction and display is a complex process, and generally relates to aspects such as data information, prediction methods, decision making processes and the like. For macroscopic data such as regional global power consumption and the like, the data volume is large, the regularity is relatively good, the statistical law is better met, and the applicable prediction method is more and better in effect. However, for a single user or a limited number of user sets, the situation is complex, the randomness and the fluctuation of data representation are larger, and the application effect of using a prediction method only is limited. After the electricity consumption of a single user or a limited number of users is accurately predicted, a proper method is required to be selected to display the predicted electricity consumption, so that the electricity consumption condition is simply and clearly displayed.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for predicting and displaying power consumption, and aims to solve the technical problem that the power consumption of a single user or a limited number of users cannot be accurately predicted and displayed.
In order to achieve the above purpose, the present application provides a method for predicting and displaying a power consumption, where the method includes:
acquiring historical actual power consumption and power demand change information of a user and influence on the power consumption;
correcting and restoring the historical actual power consumption to obtain conventional estimated power consumption;
predicting the conventional predicted power consumption to obtain a prediction result of the conventional predicted power consumption;
adding the prediction result of the conventional predicted power consumption and the influence power consumption to obtain the predicted power consumption of the user;
and acquiring corresponding data according to the data display requirement, inserting the data into a preset data structure, generating a visual chart, and displaying.
Further, the step of correcting and restoring the historical actual power consumption to obtain the conventional estimated power consumption comprises:
acquiring the deviation electric quantity of a user;
and subtracting the deviation electric quantity from the historical actual electric quantity to obtain the conventional estimated electric quantity.
Further, the step of predicting the conventional estimated power consumption to obtain a prediction result of the conventional estimated power consumption comprises:
calculating a geometric growth rate according to the historical actual power consumption and the conventional estimated power consumption;
calculating the ring ratio increase rate according to the historical actual power consumption and the conventional estimated power consumption;
and respectively selecting the historical actual power consumption, the conventional estimated power consumption, the same-ratio growth rate and the data structure corresponding to the ring-ratio growth rate, and inserting the historical actual power consumption, the conventional estimated power consumption, the same-ratio growth rate and the ring-ratio growth rate into the corresponding data structure to generate a visual chart for displaying.
Further, the actual power consumption of history, the conventional estimated power consumption, the percentage of increase of the same proportion and the data structure that the percentage of increase of the ring ratio corresponds are selected respectively, will the actual power consumption of history, the conventional estimated power consumption, the percentage of increase of the same proportion and the percentage of increase of the ring ratio insert in the corresponding data structure, generate visual chart, after the step of demonstrateing, include:
judging whether the growth rate of the same ratio is larger than a first threshold value or not;
judging whether the ring ratio increase rate is larger than a second threshold value or not;
and if the same-ratio growth rate is greater than the first threshold or the ring-ratio growth rate is greater than the second threshold, generating reminding information.
Further, the step of acquiring corresponding data according to the data display requirement, inserting the data into a preset data structure, generating a visual chart, and displaying includes:
acquiring user declared electric quantity;
calculating the prediction accuracy according to the historical actual power consumption and the predicted power consumption of the user;
calculating the reporting accuracy according to the historical actual power consumption and the user reported power;
and respectively selecting data structures corresponding to the historical actual power consumption, the user declared power consumption, the user predicted power consumption, the prediction accuracy and the declaration accuracy, inserting the historical actual power consumption, the user declared power consumption, the user predicted power consumption, the prediction accuracy and the declaration accuracy into the corresponding data structures, generating a visual chart, and displaying the visual chart.
Further, the step of acquiring corresponding data according to the data display requirement, inserting the data into a preset data structure, generating a visual chart, and displaying includes:
acquiring user declared electric quantity and predicting and confirming electric quantity;
calculating the accuracy of prediction confirmation according to the historical actual power consumption and the prediction confirmation power consumption;
calculating the reporting accuracy according to the historical actual power consumption and the user reported power;
and respectively selecting data structures corresponding to the historical actual power consumption, the predicted confirmed accuracy and the reporting accuracy, inserting the historical actual power consumption, the predicted confirmed accuracy and the reporting accuracy into the corresponding data structures, generating a visual chart, and displaying the visual chart.
Further, the step of acquiring corresponding data according to the data display requirement, inserting the data into a preset data structure, generating a visual chart, and displaying includes:
acquiring the number of users, the area names corresponding to the users and the user declared electric quantity;
determining the completion rate of power utilization according to the historical actual power utilization and the user declared power;
and respectively selecting data structures corresponding to the historical actual power consumption, the predicted confirmed accuracy and the reporting accuracy, inserting the historical actual power consumption, the predicted confirmed accuracy and the reporting accuracy into the corresponding data structures, generating a visual chart, and displaying the visual chart.
The invention also discloses a device for predicting and displaying the power consumption, which comprises:
the information acquisition module is used for acquiring historical actual power consumption, power consumption demand change information and influence power consumption of a user;
the conventional estimated power consumption calculation module is used for correcting and restoring the historical actual power consumption to obtain conventional estimated power consumption;
the conventional predicted power consumption prediction module is used for predicting the conventional predicted power consumption to obtain a prediction result of the conventional predicted power consumption;
the user predicted power consumption calculation module is used for adding the prediction result of the conventional predicted power consumption and the influence electric quantity to obtain the user predicted power consumption;
and the user predicted power consumption display module is used for acquiring corresponding data according to the data display demand, inserting the data into a preset data structure, generating a visual chart and displaying the visual chart.
The present application further provides a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of any of the above methods when executing the computer program.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the methods described above.
According to the power consumption prediction and display method, when the power consumption is predicted for a single user or a limited number of users, the prediction is carried out by combining historical actual power consumption, power consumption demand change information and other power consumption related information. After prediction is completed, the display of a designated mode is carried out by combining with the data related to electricity utilization, and the display of the electricity utilization condition of a single user or a limited number of users is facilitated visually. The method solves the problems that in the prior art, for a single user or a limited number of users, electricity consumption data shows randomness and volatility due to various conditions, and the application effect is poor when a prediction method is used only.
Drawings
FIG. 1 is a flow chart of a method for predicting and displaying power consumption according to an embodiment of the present invention;
FIG. 2 is a block diagram schematically illustrating a power consumption prediction and display apparatus according to an embodiment of the present invention;
fig. 3 is a block diagram schematically illustrating the structure of a computer apparatus according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 1, an embodiment of the present application provides a method for predicting and displaying a power consumption, including steps S1 to S5, specifically:
s1, acquiring historical actual power consumption and power demand change information of a user and influencing power consumption;
s2, correcting and restoring the historical actual power consumption to obtain conventional estimated power consumption;
s3, predicting the conventional predicted power consumption to obtain a prediction result of the conventional predicted power consumption;
s4, adding the prediction result of the conventional predicted power consumption and the influence power consumption to obtain the predicted power consumption of the user;
and S5, acquiring corresponding data according to the data display requirements, inserting the data into a preset data structure, generating a visual chart, and displaying.
Specifically, for steps S1, S2, S3, S4, and S5, when predicting the electricity amount for a single user or a limited number of users, the electricity amount is predicted by combining the historical actual electricity consumption amount, the electricity demand change information, and the predetermined electricity amount influence related information. The conventional estimated power consumption obtained after the historical actual power consumption is corrected and restored is the power consumption data of a single user or a limited number of users under the ideal condition of power consumption characteristics. The electricity demand change information comprises known change information such as a production plan, a maintenance plan and the like which are made by a user. After prediction is completed, the display of a designated mode is carried out by combining the data related to power utilization, and the power utilization condition of a single user or a limited number of users can be intuitively displayed. The method solves the problems that in the prior art, for a single user or a limited number of users, electricity consumption data shows randomness and volatility due to various conditions, and the application effect is poor when a prediction method is used only.
In an embodiment, the step S2 of correcting and restoring the historical actual power consumption to obtain a conventional estimated power consumption includes:
s201, acquiring deviation electric quantity of a user;
and S202, subtracting the deviation electric quantity from the historical actual electric quantity to obtain the conventional estimated electric quantity.
Specifically, for steps S201 and S202, the deviation electricity quantity of the predetermined user is obtained, and the historical actual electricity consumption data is subtracted by the deviation electricity quantity before prediction, that is, the conventional estimated electricity consumption of a single user or a limited number of users is recovered, and the conventional estimated electricity consumption is the electricity consumption data of the single user or the limited number of users under the ideal condition of electricity consumption characteristics. The obtained conventional estimated power consumption is convenient for improving the accuracy of subsequent prediction.
In an embodiment, before the step S3 of predicting the conventional estimated power consumption to obtain the prediction result of the conventional estimated power consumption, the method includes:
s301, calculating a geometric growth rate according to the historical actual power consumption and the conventional estimated power consumption;
s302, calculating an annular ratio increase rate according to the historical actual power consumption and the conventional estimated power consumption;
s303, select respectively the actual power consumption of history, the conventional power consumption of estimating, the same proportion growth rate with the data structure that the ring ratio growth rate corresponds will the actual power consumption of history, the conventional power consumption of estimating, the same proportion growth rate with the ring ratio growth rate inserts in the data structure that corresponds, generate visual chart, demonstrate.
Specifically, for steps S301, S302, and S303, the same-ratio growth rate generally refers to a growth rate compared to the same-period used electricity amount in the last year. The ring ratio growth rate is typically compared to the power usage over the previous period. According to the historical actual power consumption and the conventional estimated power consumption, the same-ratio increase rate and the ring-ratio increase rate are respectively calculated, the increase condition of the power consumption of the user can be displayed, whether the increase of a single user or a limited number of users is stable or not is determined, and then whether the predicted power consumption is accurate or not is determined. When data visualization is performed, the file most often driven by data is SVG (Scalable Vector Graphics). The image file in the SVG format is readable and easy to modify and edit. The specific operation method comprises the following steps: rendering a data structure, replacing contents displayed in each node in the data structure by using an i label, and inserting corresponding data into each i label. In this embodiment, the historical actual power consumption and the conventional predicted power consumption data structure may be selected as a columnar data structure, the geometric growth rate and the circular growth rate may be selected as a polygonal data structure, and the historical actual power consumption, the conventional predicted power consumption, the geometric growth rate and the circular growth rate may be inserted into the corresponding data structures to generate a historical actual power consumption data structure diagram, a conventional predicted power consumption data structure diagram, a geometric growth rate data structure diagram and a circular growth rate data structure diagram. And taking the time corresponding to the data as an abscissa, combining a historical actual power consumption data structure chart, a conventional estimated power consumption data structure chart, a same-proportion growth rate data structure chart and a ring-proportion growth rate data structure chart according to the relationship between the abscissa and the ordinate of each data structure chart, further rendering, generating a visual chart, and displaying.
In an embodiment, after the step S302 of selecting the data structures corresponding to the historical actual power consumption, the conventional estimated power consumption, the percentage increase rate and the percentage increase rate, inserting the historical actual power consumption, the conventional estimated power consumption, the percentage increase rate and the percentage increase rate into the corresponding data structures, generating a visual chart, and displaying, the method includes:
s303, judging whether the same-ratio growth rate is greater than a first threshold value;
s304, judging whether the ring ratio increase rate is larger than a second threshold value;
s305, if the same-ratio growth rate is larger than the first threshold or the ring-ratio growth rate is larger than the second threshold, generating reminding information.
Specifically, with respect to steps S303, S304, and S305, if the same-ratio increase rate is greater than the first threshold value or the ring-ratio increase rate is greater than the second threshold value, it represents that the power consumption of the user itself fluctuates greatly, and therefore the prediction accuracy may be affected, and is lower than that of a user in a stable increment. Therefore, the reminding information is generated for the user with large power consumption fluctuation, and the prediction result for reminding the user may be inaccurate. The first threshold and the second threshold may be set according to actual conditions.
In an embodiment, the step S5 of acquiring corresponding data according to a data display requirement, inserting the data into a preset data structure, generating a visual chart, and displaying includes:
s501, acquiring a user declared electric quantity;
s502, calculating a prediction accuracy according to the historical actual power consumption and the predicted power consumption of the user;
s503, calculating a reporting accuracy according to the historical actual power consumption and the user reported power;
s504, data structures corresponding to the historical actual power consumption, the user declared power consumption, the user predicted power consumption, the prediction accuracy and the declaration accuracy are selected respectively, the historical actual power consumption, the user declared power consumption, the user predicted power consumption, the prediction accuracy and the declaration accuracy are inserted into the corresponding data structures, a visual chart is generated, and the visual chart is displayed.
Specifically, for steps S501, S502, S503, and S504, the declared power amount is the sum of the user declared power amounts of the electricity selling company agents. Through the step, the conditions of reporting electric quantity, reporting accuracy and forecasting accuracy of each user can be displayed by the agents of the electricity selling companies. When data visualization is performed, the file most often driven by data is SVG (Scalable Vector Graphics). The image file in the SVG format is readable and easy to modify and edit. The specific operation method comprises the following steps: and rendering a data structure, replacing contents displayed in each node in the data structure by using an i-label, and inserting corresponding data into each i-label. In this embodiment, the data structures of the historical actual power consumption, the user declared power consumption and the user predicted power consumption may be selected as a columnar data structure, the prediction accuracy and the declaration accuracy may be selected as a polygonal data structure, and the historical actual power consumption, the user declared power consumption, the user predicted power consumption, the prediction accuracy and the declaration accuracy are inserted into the corresponding data structures to generate a historical actual power consumption data structure diagram, a user declared power consumption data structure diagram, a user predicted power consumption data structure diagram, a prediction accuracy data structure diagram and a declaration accuracy data structure diagram. And taking the time corresponding to the data as an abscissa, combining a historical actual power consumption data structure chart, a user declared power consumption data structure chart, a user predicted power consumption data structure chart, a predicted accuracy data structure chart and a declared accuracy data structure chart together according to the relationship between the abscissa and the ordinate of each data structure chart, further rendering, generating a visual chart, and displaying.
In an embodiment, the step S5 of acquiring corresponding data according to a data display requirement, inserting the data into a preset data structure, generating a visual chart, and displaying includes:
s505, acquiring user declared electric quantity and predicting and confirming electric quantity;
s506, calculating the accuracy of prediction and confirmation according to the historical actual power consumption and the prediction and confirmation power consumption;
s507, calculating a reporting accuracy according to the historical actual power consumption and the user reported electric quantity;
and S508, selecting data structures corresponding to the historical actual power consumption, the predicted confirmed accuracy and the declared accuracy respectively, inserting the historical actual power consumption, the predicted confirmed accuracy and the declared accuracy into the corresponding data structures, generating a visual chart, and displaying the visual chart.
Specifically, for steps S505, S506, S507, and S508, the user declared electric quantity, the predetermined expert predicted electric quantity, and the predetermined predicted confirmed electric quantity are obtained, the prediction confirmation accuracy rate and the declaration accuracy rate are respectively calculated, and the situations of the user declared electric quantity, the declaration accuracy rate, and the prediction confirmation accuracy rate can be demonstrated. When data visualization is performed, the file most often driven by data is SVG (Scalable Vector Graphics). The image file in the SVG format is readable and easy to modify and edit. The specific operation method comprises the following steps: and rendering a data structure, replacing contents displayed in each node in the data structure by using an i-label, and inserting corresponding data into each i-label. In this embodiment, the data structures of the historical actual power consumption, the predicted confirmed power consumption and the user declared power consumption may be selected as a column data structure, the predicted confirmed accuracy and the declared accuracy may be selected as a polygonal line data structure, and the historical actual power consumption, the predicted confirmed power consumption, the user declared power consumption, the predicted confirmed accuracy and the declared accuracy may be inserted into the corresponding data structures to generate a historical actual power consumption data structure diagram, a predicted confirmed power consumption data structure diagram, a user declared power consumption data structure diagram, a predicted confirmed accuracy data structure diagram and a declared accuracy data structure diagram. And taking the time corresponding to the data as an abscissa, combining a historical actual power consumption data structure chart, a predicted confirmed power consumption data structure chart, a user declared electric quantity data structure chart, a predicted confirmed accuracy data structure chart and a declared accuracy data structure chart together according to the relationship between the abscissa and the ordinate of each data structure chart, further rendering, generating a visual chart, and displaying.
In an embodiment, the step S5 of acquiring corresponding data according to a data display requirement, inserting the data into a preset data structure, generating a visual chart, and displaying includes:
s510, acquiring the number of users, area names corresponding to the users and user declared electric quantity;
s511, determining the electricity utilization completion rate according to the historical actual electricity consumption and the user declared electricity quantity;
s512, data structures corresponding to the historical actual power consumption, the predicted confirmed accuracy and the reporting accuracy are selected respectively, and the historical actual power consumption, the predicted confirmed accuracy and the reporting accuracy are inserted into the corresponding data structures to generate a visual chart for displaying.
Specifically, for steps S510, S511, and S512, the historical actual power usage is divided by the user declared power usage to obtain the power usage completion rate. The reported electric quantity, the electricity utilization completion rate and the historical actual electricity utilization condition of the users in the specific region can be displayed through the step, and the electricity utilization condition of the users in the specific region can be displayed. When data visualization is performed, the file most often driven by data is SVG (Scalable Vector Graphics). The image file in the SVG format is readable and easy to modify and edit. The specific operation method comprises the following steps: and rendering a data structure, replacing contents displayed in each node in the data structure by using an i-label, and inserting corresponding data into each i-label. In this embodiment, the data structures of the historical actual power consumption and the user declared power consumption may be selected as a column data structure, the power consumption completion rate may be selected as a broken line data structure, and the historical actual power consumption, the user declared power consumption, and the power consumption completion rate may be inserted into the corresponding data structures to generate a historical actual power consumption data structure diagram, a user declared power consumption data structure diagram, and a power consumption completion rate data structure diagram. And taking the number of the users and the area names corresponding to the users as horizontal coordinates, combining a historical actual power consumption data structure chart, a user declared power consumption data structure chart and a power consumption completion rate data structure chart together according to the relation between the horizontal coordinates and the vertical coordinates of the data structure charts, further rendering, generating a visual chart and displaying the visual chart.
Referring to fig. 2, a block diagram of a power consumption predicting and displaying apparatus according to an embodiment of the present application is shown, the apparatus including:
the information acquisition module 100 is used for acquiring historical actual power consumption, power demand change information and influence power consumption of a user;
the conventional estimated power consumption calculation module 200 is used for correcting and restoring the historical actual power consumption to obtain conventional estimated power consumption;
the conventional predicted power consumption prediction module 300 is used for predicting the conventional predicted power consumption to obtain a prediction result of the conventional predicted power consumption;
the user predicted power consumption calculation module 400 is used for adding the prediction result of the conventional predicted power consumption and the influence power consumption to obtain the user predicted power consumption;
and the user predicted power consumption display module 500 is used for acquiring corresponding data according to the data display requirements, inserting the data into a preset data structure, generating a visual chart and displaying the visual chart.
In one embodiment, the above power consumption predicting and displaying apparatus further includes:
the conventional predicted power consumption prediction submodule is used for acquiring the deviation electric quantity of a user; and subtracting the deviation electric quantity from the historical actual electric quantity to obtain the conventional estimated electric quantity.
In one embodiment, the above power consumption predicting and displaying apparatus further includes:
the increase calculation module is used for calculating a same-proportion increase rate according to the historical actual power consumption and the conventional estimated power consumption; calculating the ring ratio increase rate according to the historical actual power consumption and the conventional estimated power consumption; and respectively selecting the historical actual power consumption, the conventional estimated power consumption, the same-ratio growth rate and the data structure corresponding to the ring-ratio growth rate, and inserting the historical actual power consumption, the conventional estimated power consumption, the same-ratio growth rate and the ring-ratio growth rate into the corresponding data structure to generate a visual chart for displaying.
In one embodiment, the above power consumption predicting and displaying apparatus further includes:
the judging module is used for judging whether the same-ratio growth rate is larger than a first threshold value or not; judging whether the ring ratio growth rate is larger than a second threshold value or not; and if the same-ratio growth rate is greater than the first threshold or the ring-ratio growth rate is greater than the second threshold, generating reminding information.
In one embodiment, the above power consumption predicting and displaying apparatus further includes:
the first display module is used for acquiring the reported electric quantity of the user; calculating the prediction accuracy according to the historical actual power consumption and the predicted power consumption of the user; calculating the reporting accuracy according to the historical actual power consumption and the user reported power; and respectively selecting data structures corresponding to the historical actual power consumption, the user declared power consumption, the user predicted power consumption, the prediction accuracy and the declaration accuracy, inserting the historical actual power consumption, the user declared power consumption, the user predicted power consumption, the prediction accuracy and the declaration accuracy into the corresponding data structures, generating a visual chart, and displaying the visual chart.
In one embodiment, the above power consumption predicting and displaying apparatus further includes:
the second display module is used for acquiring the declared electric quantity of the user and predicting and confirming the electric quantity; calculating the accuracy of prediction confirmation according to the historical actual power consumption and the prediction confirmation power consumption; calculating the reporting accuracy according to the historical actual power consumption and the user reported power; and respectively selecting data structures corresponding to the historical actual power consumption, the predicted confirmed accuracy and the reporting accuracy, inserting the historical actual power consumption, the predicted confirmed accuracy and the reporting accuracy into the corresponding data structures, generating a visual chart, and displaying the visual chart.
In one embodiment, the above power consumption predicting and displaying apparatus further includes:
the third display module is used for acquiring the number of users, the area names corresponding to the users and the user declared electric quantity; determining the completion rate of power utilization according to the historical actual power utilization and the user declared power; and respectively selecting data structures corresponding to the historical actual power consumption, the predicted confirmed accuracy and the reporting accuracy, inserting the historical actual power consumption, the predicted confirmed accuracy and the reporting accuracy into the corresponding data structures, generating a visual chart, and displaying the visual chart.
Referring to fig. 3, a computer device, which may be a server and whose internal structure may be as shown in fig. 3, is also provided in the embodiment of the present application. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer designed processor is used to provide computational and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing power consumption prediction and display method operation data and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a power consumption prediction and display method according to any of the above embodiments.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is only a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects may be applied.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for predicting and displaying the power consumption is implemented. It is to be understood that the computer-readable storage medium in the present embodiment may be a volatile-readable storage medium or a non-volatile-readable storage medium.
According to the power consumption prediction and display method, when the power consumption is predicted for a single user or a limited number of users, the prediction is carried out by combining historical actual power consumption, power consumption demand change information and other power consumption related information. After prediction is completed, the display of a designated mode is carried out by combining the data related to power utilization, and the power utilization condition of a single user or a limited number of users can be intuitively displayed. The method solves the problems that in the prior art, for a single user or a limited number of users, power consumption data shows randomness and volatility due to various conditions, and the application effect of a prediction method used only is poor.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRDRAM), enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct bused dynamic RAM (DRDRAM), and bused dynamic RAM (RDRAM).
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of another identical element in a process, apparatus, article, or method comprising the element.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. A power consumption prediction and display method is characterized by comprising the following steps:
acquiring historical actual power consumption and power demand change information of a user and influence on the power consumption;
correcting and restoring the historical actual power consumption to obtain conventional estimated power consumption;
predicting the conventional predicted power consumption to obtain a prediction result of the conventional predicted power consumption;
adding the prediction result of the conventional predicted power consumption and the influence power consumption to obtain the predicted power consumption of the user;
and acquiring corresponding data according to the data display requirement, inserting the data into a preset data structure, generating a visual chart, and displaying.
2. The method for predicting and displaying the power consumption according to claim 1, wherein the step of correcting and restoring the historical actual power consumption to obtain the conventional estimated power consumption comprises the following steps:
acquiring the deviation electric quantity of a user;
and subtracting the deviation electric quantity from the historical actual electric quantity to obtain the conventional estimated electric quantity.
3. The method for predicting and displaying the power consumption according to claim 1, wherein the step of predicting the conventional estimated power consumption to obtain a prediction result of the conventional estimated power consumption comprises the following steps of:
calculating a geometric growth rate according to the historical actual power consumption and the conventional estimated power consumption;
calculating the ring ratio increase rate according to the historical actual power consumption and the conventional estimated power consumption;
and respectively selecting the historical actual power consumption, the conventional estimated power consumption, the same-ratio growth rate and the data structure corresponding to the ring-ratio growth rate, and inserting the historical actual power consumption, the conventional estimated power consumption, the same-ratio growth rate and the ring-ratio growth rate into the corresponding data structure to generate a visual chart for displaying.
4. The method for predicting and displaying electricity consumption according to claim 3, wherein the step of selecting the data structures corresponding to the historical actual electricity consumption, the conventional predicted electricity consumption, the geometric growth rate and the hoop growth rate, respectively, inserting the historical actual electricity consumption, the conventional predicted electricity consumption, the geometric growth rate and the hoop growth rate into the corresponding data structures to generate a visual chart, and displaying the visual chart comprises the following steps:
judging whether the growth rate of the same proportion is larger than a first threshold value or not;
judging whether the ring ratio increase rate is larger than a second threshold value or not;
and if the same-ratio growth rate is greater than a first threshold value or the ring-ratio growth rate is greater than a second threshold value, generating reminding information.
5. The power consumption prediction and display method according to claim 1, wherein the step of obtaining the corresponding data according to the data display requirement, inserting the data into a preset data structure, generating a visual chart, and displaying comprises:
acquiring user declared electric quantity;
calculating a prediction accuracy rate according to the historical actual power consumption and the predicted power consumption of the user;
calculating the reporting accuracy according to the historical actual power consumption and the user reported power;
and respectively selecting data structures corresponding to the historical actual power consumption, the user declared power consumption, the user predicted power consumption, the prediction accuracy and the declaration accuracy, inserting the historical actual power consumption, the user declared power consumption, the user predicted power consumption, the prediction accuracy and the declaration accuracy into the corresponding data structures, generating a visual chart, and displaying the visual chart.
6. The power consumption prediction and display method according to claim 1, wherein the step of obtaining the corresponding data according to the data display requirement, inserting the data into a preset data structure, generating a visual chart, and displaying comprises:
acquiring user declared electric quantity and predicting and confirming electric quantity;
calculating the accuracy rate of prediction confirmation according to the historical actual power consumption and the prediction confirmation power consumption;
calculating a reporting accuracy rate according to the historical actual power consumption and the user reporting power;
and respectively selecting data structures corresponding to the historical actual power consumption, the predicted confirmed accuracy and the reporting accuracy, inserting the historical actual power consumption, the predicted confirmed accuracy and the reporting accuracy into the corresponding data structures, generating a visual chart, and displaying the visual chart.
7. The power consumption prediction and display method according to claim 1, wherein the step of obtaining corresponding data according to the data display requirement, inserting the data into a preset data structure, generating a visual chart, and displaying comprises:
acquiring the number of users, the area names corresponding to the users and the user declared electric quantity;
determining the electricity utilization completion rate according to the historical actual electricity consumption and the user declared electricity quantity;
and respectively selecting data structures corresponding to the user quantity, the area name corresponding to the user, the historical actual power consumption, the user declared power and the power utilization completion rate, inserting the user quantity, the area name corresponding to the user, the historical actual power consumption, the user declared power and the power utilization completion rate into the corresponding data structures, generating a visual chart, and displaying the visual chart.
8. A power consumption predicting and displaying device is characterized by comprising:
the information acquisition module is used for acquiring historical actual power consumption, power consumption demand change information and influence power consumption of a user;
the conventional estimated power consumption calculation module is used for correcting and restoring the historical actual power consumption to obtain conventional estimated power consumption;
the conventional predicted power consumption prediction module is used for predicting the conventional predicted power consumption to obtain a prediction result of the conventional predicted power consumption;
the user predicted power consumption calculation module is used for adding the prediction result of the conventional predicted power consumption and the influence electric quantity to obtain the user predicted power consumption;
and the user predicted power consumption display module is used for acquiring corresponding data according to the data display requirements, inserting the data into a preset data structure, generating a visual chart and displaying the visual chart.
9. A computer device comprising a memory and a processor, the memory having stored therein a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method according to any one of claims 1 to 7.
10. A computer storage medium on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211378596.XA CN115841173A (en) | 2022-11-04 | 2022-11-04 | Power consumption prediction and display method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211378596.XA CN115841173A (en) | 2022-11-04 | 2022-11-04 | Power consumption prediction and display method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115841173A true CN115841173A (en) | 2023-03-24 |
Family
ID=85576900
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211378596.XA Pending CN115841173A (en) | 2022-11-04 | 2022-11-04 | Power consumption prediction and display method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115841173A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116029480A (en) * | 2023-03-28 | 2023-04-28 | 广东电网有限责任公司 | Proxy purchase electricity measuring method and system thereof |
-
2022
- 2022-11-04 CN CN202211378596.XA patent/CN115841173A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116029480A (en) * | 2023-03-28 | 2023-04-28 | 广东电网有限责任公司 | Proxy purchase electricity measuring method and system thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP4705563B2 (en) | Distribution system state estimation device, state estimation method and program thereof | |
| CN115841173A (en) | Power consumption prediction and display method, device, equipment and storage medium | |
| CN112256550A (en) | Storage capacity prediction model generation method and storage capacity prediction method | |
| CN111814964A (en) | Air pollution treatment method based on air quality condition prediction and storage medium | |
| CN114219376A (en) | Household appliance large-scale customized service resource scheduling method based on knowledge graph | |
| CN110134680B (en) | Space monitoring method and device, computer equipment and storage medium | |
| CN112700111A (en) | Working data processing method and device, computer equipment and storage medium | |
| CN112346418B (en) | Energy monitoring method and device for smart city and readable storage medium | |
| CN115423209A (en) | Power load demand prediction method and device, electronic equipment and storage medium | |
| CN115222252A (en) | Method and device for planning intelligent pole, computer equipment and storage medium | |
| CN111415040B (en) | Method and device for calculating suggested purchase amount based on PET purchase model | |
| CN114490650A (en) | System, device, equipment and storage medium for predicting database space | |
| CN113537631A (en) | Method and device for predicting medicine demand, electronic equipment and storage medium | |
| CN110599620B (en) | Data processing method and device, computer equipment and readable storage medium | |
| CN116245221B (en) | Load real-time prediction method and device and electronic equipment | |
| CN113064801A (en) | Data point burying method and device, readable storage medium and computer equipment | |
| CN110766307A (en) | Intelligent power grid real-time fund monitoring method, device, equipment and medium | |
| CN116258442B (en) | Order prediction method, order prediction device, computer equipment and storage medium | |
| CN116911812A (en) | Task reminding method, device, computer equipment and storage medium | |
| CN110097206A (en) | Rate of violation prediction technique, device, computer equipment and storage medium | |
| US20180174174A1 (en) | Trend-based data anlysis | |
| US10823125B1 (en) | Systems and methods for determining fuel level based on fuel consumption and refill data | |
| AU2016202813A1 (en) | Methods and systems for task time estimate re-asssessment in a task scheduling system | |
| US20240028982A1 (en) | Plan making device and plan making method | |
| US20230185870A1 (en) | Prediction modeling for differencing technique |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |