CN112163709A - Power utilization prompting method and device, storage medium and electronic device - Google Patents
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Abstract
The application discloses a power utilization prompting method and device, a storage medium and an electronic device. Wherein, the method comprises the following steps: acquiring historical electricity utilization data and historical environment information of a user; and generating a power utilization prompt according to the historical environment information and the historical power utilization data. The power consumption of the power consumption equipment is great technical problem among the correlation technique has been solved to this application.
Description
Technical Field
The application relates to the field of smart home, in particular to a power utilization prompting method and device, a storage medium and an electronic device.
Background
Various electric equipment has become an indispensable part of life, brings great convenience to people's life, has also promoted the development of scientific society, and the use of electric equipment has also brought some side effects, and the most direct one of them is the consumption of power consumption.
The population is increased, the electric equipment is also multiplied, and the electric load of the city is increased. Although the existing electric appliances generally have an energy-saving mode, the effect is very little, the biggest reason is the involuntary power consumption behavior of the user, the power consumption caused by the behavior is huge, and the general products cannot effectively inhibit the behavior because the behavior is initiated by the user.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides a power utilization prompting method and device, a storage medium and an electronic device, and aims to at least solve the technical problem that power consumption of power utilization equipment is large in the related art.
According to an aspect of an embodiment of the present application, there is provided a power consumption prompting method, including: acquiring historical electricity utilization data and historical environment information of a user; and generating a power utilization prompt according to the historical environment information and the historical power utilization data.
Optionally, generating a power utilization prompt according to the historical environmental information and the historical power utilization data includes: generating an incidence relation according to the historical environment information and the historical electricity utilization data, wherein the incidence relation is used for representing the corresponding relation between the environment information and the electricity utilization data; and generating the electricity utilization prompt according to the current environment information of the user and the incidence relation.
Optionally, generating an association relationship according to the historical environmental information and the historical electricity consumption data includes: and processing the historical environment information and the historical electricity utilization data by adopting an FFM algorithm to generate an electricity utilization curve representing the incidence relation.
Optionally, processing the historical environmental information and the historical electricity consumption data by using an FFM algorithm, and generating an electricity consumption curve representing the association relationship includes: performing data integration and normalization processing on the historical environmental information and the historical electricity utilization data; obtaining a loss function value of the calculation model; updating parameters of the calculation model according to the selected algorithm parameter strategy; and inputting the historical environment information and the historical electricity utilization data subjected to data integration and normalization processing into the calculation model to generate the electricity utilization curve.
Optionally, the generating the electricity utilization prompt according to the current environment information of the user and the association relationship includes: searching a power utilization mode matched with the current environment information from the power utilization curve; and generating the power utilization prompt corresponding to the power utilization mode.
Optionally, before the electricity utilization prompt is generated according to the current environment information of the user and the association relationship, the method further includes: and acquiring the current environment information of the user.
Optionally, the obtaining of the current environment information of the user includes: acquiring the temperature of the surrounding environment of the user, the humidity of the surrounding environment and the brightness of the surrounding environment, wherein the current environment information comprises the temperature of the surrounding environment, the humidity of the surrounding environment and the brightness of the surrounding environment.
According to another aspect of the embodiments of the present application, there is also provided an electricity utilization prompting device, including: the acquisition unit is used for acquiring historical electricity utilization data and historical environment information of a user; and the prompting unit is used for generating a power utilization prompt according to the historical environment information and the historical power utilization data.
Optionally, the prompting unit is further configured to: generating an incidence relation according to the historical environment information and the historical electricity utilization data, wherein the incidence relation is used for representing the corresponding relation between the environment information and the electricity utilization data; and generating the electricity utilization prompt according to the current environment information of the user and the incidence relation.
Optionally, the prompting unit is further configured to: and processing the historical environment information and the historical electricity utilization data by adopting an FFM algorithm to generate an electricity utilization curve representing the incidence relation.
Optionally, the prompting unit is further configured to: performing data integration and normalization processing on the historical environmental information and the historical electricity utilization data; obtaining a loss function value of the calculation model; updating parameters of the calculation model according to the selected algorithm parameter strategy; and inputting the historical environment information and the historical electricity utilization data subjected to data integration and normalization processing into the calculation model to generate the electricity utilization curve.
Optionally, the prompting unit is further configured to: searching a power utilization mode matched with the current environment information from the power utilization curve; and generating the power utilization prompt corresponding to the power utilization mode.
Optionally, the prompting unit is further configured to: and acquiring the current environment information of the user before generating the power utilization prompt according to the current environment information of the user and the incidence relation.
Optionally, the prompting unit is further configured to: acquiring the temperature of the surrounding environment of the user, the humidity of the surrounding environment and the brightness of the surrounding environment, wherein the current environment information comprises the temperature of the surrounding environment, the humidity of the surrounding environment and the brightness of the surrounding environment.
According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program which, when executed, performs the above-described method.
According to another aspect of the embodiments of the present application, there is also provided an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the above method through the computer program.
In the embodiment of the application, the power utilization condition of the user is obtained to obtain the optimal power utilization curve meeting the condition of the user, the power utilization suggestion is provided for the user to improve the power utilization behavior of the user, and the technical problem that the power consumption of power utilization equipment is large in the related technology can be solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart of an alternative power usage alerting method according to an embodiment of the present application;
FIG. 2 is a schematic view of an alternative power usage notification apparatus according to an embodiment of the present application;
and
fig. 3 is a block diagram of a terminal according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an aspect of an embodiment of the present application, a method embodiment of a power utilization prompting method is provided. Fig. 1 is a flowchart of an alternative electricity usage prompting method according to an embodiment of the present application, and as shown in fig. 1, the method may include the following steps:
in step S1, the historical electricity consumption data and the historical environmental information of the user are acquired.
And step S2, generating a power utilization prompt according to the historical environment information and the historical power utilization data.
Optionally, generating a power utilization prompt according to the historical environmental information and the historical power utilization data includes: generating an incidence relation according to the historical environment information and the historical electricity utilization data, wherein the incidence relation is used for representing the corresponding relation between the environment information and the electricity utilization data; and generating the electricity utilization prompt according to the current environment information of the user and the incidence relation.
Optionally, generating an association relationship according to the historical environmental information and the historical electricity consumption data includes: and processing the historical environment information and the historical electricity utilization data by adopting an FFM algorithm to generate an electricity utilization curve representing the incidence relation.
Optionally, processing the historical environmental information and the historical electricity consumption data by using an FFM algorithm, and generating an electricity consumption curve representing the association relationship includes: performing data integration and normalization processing on the historical environmental information and the historical electricity utilization data; obtaining a loss function value of the calculation model; updating parameters of the calculation model according to the selected algorithm parameter strategy; and inputting the historical environment information and the historical electricity utilization data subjected to data integration and normalization processing into the calculation model to generate the electricity utilization curve.
Optionally, the generating the electricity utilization prompt according to the current environment information of the user and the association relationship includes: searching a power utilization mode matched with the current environment information from the power utilization curve; and generating the power utilization prompt corresponding to the power utilization mode.
Optionally, before the electricity utilization prompt is generated according to the current environment information of the user and the association relationship, the method further includes: and acquiring the current environment information of the user.
Optionally, the obtaining of the current environment information of the user includes: acquiring the temperature of the surrounding environment of the user, the humidity of the surrounding environment and the brightness of the surrounding environment, wherein the current environment information comprises the temperature of the surrounding environment, the humidity of the surrounding environment and the brightness of the surrounding environment.
Through the steps, the power utilization condition of the user is obtained to obtain the optimal power utilization curve meeting the user condition, the power utilization suggestion is provided for the user to improve the power utilization behavior of the user, and the technical problem that the power consumption of the power utilization equipment is large in the related technology can be solved.
As an alternative example, the technical solution of the present application is further described below with reference to specific embodiments.
Considering that the power demand of a user does not fluctuate greatly in an effective time, the effective time mainly refers to a time period for keeping the factors such as the temperature and humidity of the surrounding environment, the user activity and the like stable; in an effective period of time, the users and the electric equipment thereof form a closed system, namely the users and the electric equipment are not greatly increased or reduced; the effective time is independent, namely the selected effective time is independent from each other and has no influence.
With the above conditions satisfied, an inference can be drawn: within a period of validity, there must be a most energy efficient power usage profile, so the problem to be solved in the end is to fit the optimal power usage curve of the user.
Ideally, the optimal power consumption of the user in the active time is 0. In practical situations, under the influence of user requirements, equipment energy consumption and the like, the power distribution is not 0, so that in practical situations, the optimal user curve needs to be obtained under the influence of meeting the aforementioned influences. Under the precondition that the influences are satisfied, the influences are relatively fixed for the user, and basically do not change greatly within the effective time. These influences are here set as I. The environmental influence in the constraint I is set here to the temperature, humidity and brightness of the surrounding environment in consideration of the complexity of the real environment.
In terms of algorithm, the FFM model is selected here. The model introduces a domain to leverage information with the same attributes so that target values can be derived more accurately. Meanwhile, the algorithm still maintains excellent performance under the conditions of large data volume and sparse data features.
The general flow is as follows: collecting power utilization information of a user, namely a power utilization curve in an effective time; classifying the power utilization curves with the I changing within an allowable range into one class, obtaining a curve in each class by utilizing an FFM algorithm, and synthesizing each class to obtain an optimal curve under the constraint condition I, wherein the definition of the allowable range can determine a reasonable value only through multiple tests; under similar constraint conditions, the optimal power utilization of the user can be deduced according to the obtained curve. I.e., the optimal amount of electricity used by the user, under environmental factors within the allowable range. The specific implementation mode is as follows:
data acquisition: the algorithm requires a certain amount of user data to be collected to form a model adapted to a specific user, so that the device collects operation data and ambient parameters of the user within a period of time in advance of use of the product. The user operation data may approximately represent the user's demand information, and the ambient environment information is mainly represented by temperature, humidity, and brightness. The data of the effective time and the electricity consumption are formed by the data.
Data integration and normalization: the collected data is relatively disordered and inconsistent, and the data comprises numerical data and category data, and the FFM algorithm adopts a uniform data format (LIBSVM or FFMs format) for data input, so that the data type needs to be uniformly processed. Firstly, regarding the type characteristics, the value of a certain attribute in the data table can correspond the attribute with each value thereof to form an attribute value pair as a new attribute to replace the original attribute, the value of the corresponding attribute value pair on a certain data is 1, otherwise, the value is 0. For numerical features, we discretize the data, followed by format conversion as categorical features.
Loss function: the loss function value of the model is calculated from the data. The loss function adopted by the FFM algorithm is different from the traditional CTR prediction, namely an advertisement click rate prediction algorithm. The invention can be similar to the advertisement click prediction, that is, a threshold value of light, temperature and the like meeting the user requirement is estimated according to the environment data and the previous user operation data, and the electric equipment is controlled according to the threshold value and the brightness and the temperature of the current surrounding environment, so that the invention is compared with the CTR prediction. A commonly used loss function in CRT prediction is as follows:
for the FFM model, the loss function is:
wherein x is a sample, n is the total number of features, fi and fj are the domains of the ith feature and the jth feature respectively, w (i, fj) represents the vector corresponding to the ith feature in the domain fj, and x (i) is the value of the ith feature corresponding to the sample x.
The loss function of the FFM algorithm contains information of a domain, i.e. the class to which the data features belong, and the features with the same property or attribute are divided into the same domain. Therefore, a larger information amount can be obtained, and an algorithm model closer to a user can be learned.
Parameter optimization: and updating and optimizing the parameters according to the selected algorithm parameter strategy. The FFM algorithm adopts a method that the parameter updating strategy is SG + AdaGrad, and the specific flow is that firstly, the gradient is calculated, and then the square of the gradient is accumulated by means of the AdaGrad algorithm, and then the related parameters are updated.
The method can continuously learn the user and continuously improve the optimization algorithm parameters so as to better adapt to the requirements of the user.
And (3) curve fitting: the input of the algorithm is user operation data and environment parameters in a period of time, the user electricity consumption can be obtained through the user operation data, namely, a data table of effective time and electricity consumption can be generated, and an electricity consumption curve can be obtained according to the data table. Therefore, to obtain the optimal power consumption curve, the minimum power consumption operation on the premise of meeting the user requirements needs to be obtained, and the operation basis is derived from the output of the algorithm. The optimal curve of the user can be obtained in the above mode.
Selecting effective time: the effective time here mainly refers to a time period during which the factors such as the temperature and humidity of the surrounding environment, the user activities, and the like are kept stable. In general, the time period is not fixed and different for different users and environments, and the specific time period needs to be evaluated and acquired through experiments in specific applications.
The optimal electricity utilization curve of the user is obtained by utilizing a relevant algorithm in combination with the self demand and conditions of the user, and the suggestion is pushed, so that the electricity utilization behavior of the user is further improved, and the purposes of saving energy and reducing urban electricity utilization load are achieved.
The invention realizes that the optimal power utilization curve of the user is obtained through the power utilization history and the personal condition of the user and relevant suggestions are provided for the user to inhibit the power consumption behavior of the user.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.
According to another aspect of the embodiment of the application, a power utilization prompting device for implementing the power utilization prompting method is further provided. Fig. 2 is a schematic diagram of an alternative electricity utilization prompting device according to an embodiment of the present application, and as shown in fig. 2, the device may include:
an acquisition unit 21 configured to acquire historical electricity consumption data and historical environmental information of a user;
and the prompting unit 23 is used for generating a power utilization prompt according to the historical environment information and the historical power utilization data.
It should be noted that the obtaining unit 21 in this embodiment may be configured to execute step S1 in this embodiment, and the prompting unit 23 in this embodiment may be configured to execute step S2 in this embodiment.
Through the module, the power utilization condition of the user is obtained to obtain the optimal power utilization curve meeting the condition of the user, the power utilization suggestion is provided for the user to improve the power utilization behavior of the user, and the technical problem that the power consumption of power utilization equipment is large in the related technology can be solved.
Optionally, the prompting unit is further configured to: generating an incidence relation according to the historical environment information and the historical electricity utilization data, wherein the incidence relation is used for representing the corresponding relation between the environment information and the electricity utilization data; and generating the electricity utilization prompt according to the current environment information of the user and the incidence relation.
Optionally, the prompting unit is further configured to: and processing the historical environment information and the historical electricity utilization data by adopting an FFM algorithm to generate an electricity utilization curve representing the incidence relation.
Optionally, the prompting unit is further configured to: performing data integration and normalization processing on the historical environmental information and the historical electricity utilization data; obtaining a loss function value of the calculation model; updating parameters of the calculation model according to the selected algorithm parameter strategy; and inputting the historical environment information and the historical electricity utilization data subjected to data integration and normalization processing into the calculation model to generate the electricity utilization curve.
Optionally, the prompting unit is further configured to: searching a power utilization mode matched with the current environment information from the power utilization curve; and generating the power utilization prompt corresponding to the power utilization mode.
Optionally, the prompting unit is further configured to: and acquiring the current environment information of the user before generating the power utilization prompt according to the current environment information of the user and the incidence relation.
Optionally, the prompting unit is further configured to: acquiring the temperature of the surrounding environment of the user, the humidity of the surrounding environment and the brightness of the surrounding environment, wherein the current environment information comprises the temperature of the surrounding environment, the humidity of the surrounding environment and the brightness of the surrounding environment.
It should be noted here that the modules described above are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the above embodiments. It should be noted that the modules as a part of the apparatus may run in a corresponding hardware environment, and may be implemented by software, or may be implemented by hardware, where the hardware environment includes a network environment.
According to another aspect of the embodiment of the application, a server or a terminal for implementing the electricity utilization prompting method is further provided.
Fig. 3 is a block diagram of a terminal according to an embodiment of the present application, and as shown in fig. 3, the terminal may include: one or more processors 201 (only one shown), memory 203, and transmission means 205, as shown in fig. 3, the terminal may further comprise an input-output device 207.
The memory 203 may be configured to store software programs and modules, such as program instructions/modules corresponding to the power utilization prompting method and apparatus in the embodiment of the present application, and the processor 201 executes various functional applications and data processing by running the software programs and modules stored in the memory 203, that is, implements the power utilization prompting method. The memory 203 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 203 may further include memory located remotely from the processor 201, which may be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 205 is used for receiving or sending data via a network, and can also be used for data transmission between a processor and a memory. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 205 includes a Network adapter (NIC) that can be connected to a router via a Network cable and other Network devices to communicate with the internet or a local area Network. In one example, the transmission device 205 is a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
Wherein the memory 203 is specifically used for storing application programs.
The processor 201 may call the application stored in the memory 203 via the transmission means 205 to perform the following steps:
acquiring historical electricity utilization data and historical environment information of a user;
and generating a power utilization prompt according to the historical environment information and the historical power utilization data.
The processor 201 is further configured to perform the following steps:
performing data integration and normalization processing on the historical environmental information and the historical electricity utilization data;
obtaining a loss function value of the calculation model;
updating parameters of the calculation model according to the selected algorithm parameter strategy;
and inputting the historical environment information and the historical electricity utilization data subjected to data integration and normalization processing into the calculation model to generate the electricity utilization curve.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
It can be understood by those skilled in the art that the structure shown in fig. 3 is only an illustration, and the terminal may be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, and a Mobile Internet Device (MID), a PAD, etc. Fig. 3 is a diagram illustrating the structure of the electronic device. For example, the terminal may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 3, or have a different configuration than shown in FIG. 3.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
Embodiments of the present application also provide a storage medium. Alternatively, in this embodiment, the storage medium may be used to execute a program code of the power utilization prompting method.
Optionally, in this embodiment, the storage medium may be located on at least one of a plurality of network devices in a network shown in the above embodiment.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps:
acquiring historical electricity utilization data and historical environment information of a user;
and generating a power utilization prompt according to the historical environment information and the historical power utilization data.
Optionally, the storage medium is further arranged to store program code for performing the steps of:
performing data integration and normalization processing on the historical environmental information and the historical electricity utilization data;
obtaining a loss function value of the calculation model;
updating parameters of the calculation model according to the selected algorithm parameter strategy;
and inputting the historical environment information and the historical electricity utilization data subjected to data integration and normalization processing into the calculation model to generate the electricity utilization curve.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, network devices, or the like) to execute all or part of the steps of the method described in the embodiments of the present application.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A power utilization prompting method is characterized by comprising the following steps:
acquiring historical electricity utilization data and historical environment information of a user;
and generating a power utilization prompt according to the historical environment information and the historical power utilization data.
2. The method of claim 1, wherein generating a power usage cue from the historical environmental information and the historical power usage data comprises:
generating an incidence relation according to the historical environment information and the historical electricity utilization data, wherein the incidence relation is used for representing the corresponding relation between the environment information and the electricity utilization data;
and generating the electricity utilization prompt according to the current environment information of the user and the incidence relation.
3. The method of claim 2, wherein generating an association from the historical environmental information and the historical electricity usage data comprises:
and processing the historical environment information and the historical electricity utilization data by adopting an FFM algorithm to generate an electricity utilization curve representing the incidence relation.
4. The method of claim 3, wherein processing the historical environmental information and the historical electricity usage data using an FFM algorithm to generate an electricity usage profile representing the correlation comprises:
performing data integration and normalization processing on the historical environmental information and the historical electricity utilization data;
obtaining a loss function value of the calculation model;
updating parameters of the calculation model according to the selected algorithm parameter strategy;
and inputting the historical environment information and the historical electricity utilization data subjected to data integration and normalization processing into the calculation model to generate the electricity utilization curve.
5. The method of claim 3, wherein generating the electricity usage cue according to the current environmental information of the user and the incidence relation comprises:
searching a power utilization mode matched with the current environment information from the power utilization curve;
and generating the power utilization prompt corresponding to the power utilization mode.
6. The method of claim 2, wherein before generating the electricity usage cue according to the current environmental information of the user and the incidence relation, the method further comprises:
and acquiring the current environment information of the user.
7. The method of claim 6, wherein obtaining current context information of the user comprises:
acquiring the temperature of the surrounding environment of the user, the humidity of the surrounding environment and the brightness of the surrounding environment, wherein the current environment information comprises the temperature of the surrounding environment, the humidity of the surrounding environment and the brightness of the surrounding environment.
8. An electricity consumption prompting device, comprising:
the acquisition unit is used for acquiring historical electricity utilization data and historical environment information of a user;
and the prompting unit is used for generating a power utilization prompt according to the historical environment information and the historical power utilization data.
9. A storage medium, characterized in that the storage medium comprises a stored program, wherein the program when executed performs the method of any of the preceding claims 1 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the method of any of the preceding claims 1 to 7 by means of the computer program.
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