CN110119881A - Power decision method, apparatus and terminal based on electricity consumption perception - Google Patents
Power decision method, apparatus and terminal based on electricity consumption perception Download PDFInfo
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Abstract
The present invention is suitable for Power decision technical field, provides a kind of Power decision method, apparatus and terminal based on electricity consumption perception, wherein the Power decision method includes: to obtain multiple alternative decision schemes；Extract the corresponding decision characteristic quantity of each decision scheme in the multiple alternative decision scheme；The corresponding decision characteristic quantity of each decision scheme is input to preset electricity consumption sensor model, obtains customer electricity satisfaction corresponding with each decision scheme；Using the highest decision scheme of customer electricity satisfaction in the multiple alternative decision scheme as the Power decision scheme chosen.The present invention can be realized the quantification treatment to alternative decision scheme, have certain objectivity, and also contemplate the electricity consumption perception of client, can obtain higher customer satisfaction.
Description
Technical field
The invention belongs to Power decision technical field more particularly to a kind of Power decision methods based on electricity consumption perception, dress
It sets, terminal and computer readable storage medium.
Background technique
Currently, daily life increasingly be unable to do without electric energy.And during power operation, often it will appear
Due to Load reason, maintenance or other reasons result in the need for carrying out stopping rationing the power supply to certain route, and implement to stop the behavior of rationing the power supply
Ration the power supply time, route etc. the information of stopping rationing the power supply of stopping belong to Power decision.
However, current Power decision mode usually has more subjectivity and one-sidedness, for example, for being related to stopping limiting
The Power decision of electric behavior, related personnel may directly choose the relevant route of failure, or are arbitrarily designated one and stop rationing the power supply
Time, without in view of this stops influence of the decision to Electricity customers of rationing the power supply, it is easy to lead to the complaint of Electricity customers.
Summary of the invention
In view of this, the present invention provides a kind of Power decision method, apparatus, terminal and computers based on electricity consumption perception
Readable storage medium storing program for executing, it is not objective enough in a manner of Power decision in the prior art to solve the problems, such as.
The first aspect of the embodiment of the present invention provides a kind of Power decision method based on electricity consumption perception, the Power decision
Method includes:
Obtain multiple alternative decision schemes；
Extract the corresponding decision characteristic quantity of each decision scheme in the multiple alternative decision scheme；
The corresponding decision characteristic quantity of each decision scheme is input to preset electricity consumption sensor model, obtain with it is described
The corresponding customer electricity satisfaction of each decision scheme；
Using the highest decision scheme of customer electricity satisfaction in the multiple alternative decision scheme as the electric power chosen
Decision scheme.
The second aspect of the embodiment of the present invention provides a kind of Power decision device based on electricity consumption perception, the Power decision
Device includes:
Decision scheme acquiring unit, for obtaining multiple alternative decision schemes；
Decision feature extraction unit, it is corresponding for extracting each decision scheme in the multiple alternative decision scheme
Decision characteristic quantity；
Electricity consumption satisfaction evaluation unit, it is preset for the corresponding decision characteristic quantity of each decision scheme to be input to
Electricity consumption sensor model obtains the corresponding customer electricity satisfaction of the decision scheme；
Decision scheme determination unit, for customer electricity satisfaction in the multiple alternative decision scheme is highest certainly
Plan scheme is as the Power decision scheme chosen.
The third aspect of the embodiment of the present invention provides a kind of terminal, including memory, processor and is stored in described
In memory and the computer program that can run on the processor, the processor are realized when executing the computer program
The step of Power decision method that such as above-mentioned any one is perceived based on electricity consumption.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, realizes that above-mentioned any one such as is based on using inductance when the computer program is executed by processor
The step of Power decision method known.
Existing beneficial effect is the present invention compared with prior art:
The present invention is by obtaining multiple alternative decision schemes；Extract each of the multiple alternative decision scheme certainly
The corresponding decision characteristic quantity of plan scheme；The corresponding decision characteristic quantity of each decision scheme is input to preset electricity consumption perception
Model obtains customer electricity satisfaction corresponding with each decision scheme；It will be objective in the multiple alternative decision scheme
Electricity consumption satisfaction highest decision scheme in family is as the Power decision scheme chosen.Realize the quantization to alternative decision scheme
Processing has certain objectivity, and also contemplates the electricity consumption perception of client, so that the Power decision scheme of final checked is
The highest decision scheme of electricity consumption satisfaction implements the Power decision scheme chosen, can obtain higher customer satisfaction.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of implementation flow chart of Power decision method based on electricity consumption perception provided by the invention；
Fig. 2 is provided by the invention a kind of for creating the implementation process of user's sensor model in embodiment illustrated in fig. 1
Figure；
Fig. 3 is a kind of structural schematic diagram of Power decision device based on electricity consumption perception provided by the invention；
Fig. 4 is a kind of schematic diagram of terminal provided by the invention.
Specific embodiment
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed
Body details, to understand thoroughly the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specific
The present invention also may be implemented in the other embodiments of details.In other situations, it omits to well-known system, device, electricity
The detailed description of road and method, in case unnecessary details interferes description of the invention.
To make the object, technical solutions and advantages of the present invention clearer, pass through specific embodiment below in conjunction with attached drawing
To be illustrated.
Referring to Fig. 1, it illustrates a kind of implementation processes of the Power decision method based on electricity consumption perception provided by the invention
Figure, details are as follows:
In a step 101, multiple alternative decision schemes are obtained；
In embodiments of the present invention, multiple alternative decision schemes are obtained first, wherein different alternative decision making scheme tools
Standby different behavioral primitive.For example, for for the decision scheme rationed the power supply is stopped, may include stop rationing the power supply the time, stop route of rationing the power supply
Equal behavioral primitives.And different alternative decision making schemes its corresponding time difference of stopping rationing the power supply, and/or, stop the behaviors such as route of rationing the power supply
Element is different.
In a step 102, the corresponding decision feature of each decision scheme in the multiple alternative decision scheme is extracted
Amount；
In embodiments of the present invention, feature extraction is carried out to multiple alternative decision schemes, it is therefore an objective to extract these decisions
Behavioral primitive in scheme, and using these behavioral primitives as the corresponding decision characteristic quantity of the decision scheme.
Illustratively, for one about the alternative decision making scheme for stopping the behavior of rationing the power supply, the alternative decision making scheme are as follows: plan with
2:00 AM 00 divided to 4 points and had a power failure to route A for 00 minute March 1.The behavioral primitive that the alternative decision making scheme includes has power failure
Time: March 1 2:00 AM 00 divide to 4 points 00 minute, dead line: route A.Determining for the alternative decision making scheme can then be extracted
Plan characteristic quantity be March 1 2:00 AM 00 divide to 4 points 00 minute, route A }.
It should be noted that the above-mentioned alternative decision making scheme provided is only an example, alternative decision making side in practical application
Case may include more behavioral primitives, and the decision characteristic quantity extracted to it can be the characteristic quantity of multidimensional.
In step 103, the corresponding decision characteristic quantity of each decision scheme is input to preset electricity consumption and perceives mould
Type obtains customer electricity satisfaction corresponding with each decision scheme；
In embodiments of the present invention, the corresponding decision characteristic quantity of each decision scheme extracted is input to preset use
Inductance perception model, to handle the decision characteristic quantity of input, is obtained and each decision by the electricity consumption sensor model
The corresponding customer electricity satisfaction of scheme, customer electricity satisfaction here can be a satisfaction score.
In embodiments of the present invention, preset electricity consumption sensor model is pre-established for the different behavioral primitives of expression
Decision characteristic quantity be analyzed and processed, finally provide a prediction model of customer electricity satisfaction score.
Illustratively, which can be a decision-tree model, which may include multiple
Branch, each branch can correspond to the influence probability of a behavioral primitive and behavior element to electricity consumption satisfaction.The decision tree
Model can carry out probabilistic determination to the influence of the corresponding behavioral primitive of decision characteristic quantity of input to electricity consumption satisfaction, and final
An electricity consumption satisfaction score is provided according to probability judgment result.
Another illustrative, which can be a neural network model, which can be with
Including multiple neurons, each neuron can correspond to the influence power of a behavioral primitive and behavior element to electricity consumption satisfaction
Weight.The neural network model can carry out weight judgement, and final output to the corresponding behavioral primitive of the decision characteristic quantity of input
One electricity consumption satisfaction score.
At step 104, the highest decision scheme of customer electricity satisfaction in the multiple alternative decision scheme is made
For the Power decision scheme chosen.
In embodiments of the present invention, by extracting the decision characteristic quantity in multiple alternative decision schemes, and electricity consumption is utilized
Sensor model handles the decision characteristic quantity extracted, obtains electricity consumption satisfaction, and it is highest standby to choose electricity consumption satisfaction
Select decision scheme as the Power decision scheme chosen.
From the foregoing, it will be observed that the present invention is by obtaining multiple alternative decision schemes；Extract the multiple alternative decision scheme
In the corresponding decision characteristic quantity of each decision scheme；The corresponding decision characteristic quantity of each decision scheme is input to default
Electricity consumption sensor model, obtain customer electricity satisfaction corresponding with each decision scheme；The multiple alternative is determined
The highest decision scheme of customer electricity satisfaction is as the Power decision scheme chosen in plan scheme.It realizes to alternative decision
The quantification treatment of scheme has certain objectivity, and also contemplates the electricity consumption perception of client, so that the electric power of final checked
Decision scheme is the highest decision scheme of electricity consumption satisfaction, implements the Power decision scheme chosen, can obtain higher visitor
Family satisfaction.
Fig. 2 shows provided by the invention a kind of for creating the realization of user's sensor model in embodiment illustrated in fig. 1
Flow chart, details are as follows:
In step 201, electric power data is obtained；
In step 202, data cleansing is carried out to the electric power data, and extracted related to the customer electricity satisfaction
Electrical nature amount；
In step 203, the electricity consumption sensor model is generated according to the electrical nature amount.
It in embodiments of the present invention, can be by electric system (for example, D5000 system, SG186 Electric Power Marketing System are used
Power information system, the electric system such as 95598 systems) acquisition power information, believed by GIS-Geographic Information System (GIS) pickup area
Breath, by meteorological system pickup area information, is fused to electric power number for the power information, area information and Weather information of acquisition
According to.Obtained electric power data includes the information data of various dimensions, such as may include that power-off condition, demand behavior, load are big
The big dimension data of small, user characteristics, Regional Distribution, electricity consumption purposes, environment, time etc. eight.It further can use mean value calculation
Method, multi-party matching, Pauta criterion clean data, are returned using matrix correlation analysis, dimensionality reduction, text mining, logic
The modes such as return, cluster handle data, electric power spy relevant to customer electricity satisfaction is finally extracted from electric power data
Sign amount.
Electrical nature amount obtained above is related to customer electricity satisfaction, can be used as providing ginseng for Power decision
The decision characteristic quantity examined.
These electrical nature amounts are analyzed, it, can according to the relationship of each electrical nature amount and customer electricity satisfaction
To establish electricity consumption sensor model, which can be used for receiving the input of characteristic quantity, and export use corresponding with input feature vector amount
Electric satisfaction.
Optionally, above-mentioned steps 202 can be realized based on following manner:
The electrical nature amount is divided into the first electrical nature amount of institute and the second electrical nature amount, wherein institute by step A1
State the first electrical nature amount indicate directly reflect the customer electricity satisfaction because become characteristic quantity, the second electrical nature amount
Indicate the influence customer electricity satisfaction becomes characteristic quantity certainly；
Step A2, it is for statistical analysis to the electrical nature amount to obtain the first electrical nature amount and described second
The corresponding relationship of electrical nature amount；
Step A3 obtains the electricity consumption sensor model based on the corresponding relationship.
Optionally, above-mentioned steps A2 can be realized based on such as under type: statistics the first electrical nature amount is to described the
The influence probability of two electrical nature amounts；
Correspondingly, above-mentioned steps A3 may include: to establish based on the influence probability with the first electrical nature amount to be
Independent variable and using the second electrical nature amount as the decision-tree model of dependent variable.
In embodiments of the present invention, by being divided into dependent variable using electricity consumption satisfaction as standard to electrical nature amount and becoming certainly
Amount, and the relationship of the two is counted, and then establish decision-tree model, use the decision-tree model as electricity consumption sensor model.
Optionally, above-mentioned steps 202 are also based on following manner realization:
Step B1 initializes preset neural network model；
Step B2, using the input of neural network model of the first electrical nature amount as after initializing, to described first
Neural network model after beginningization is trained, and the output of the neural network model after the initialization is electric to described second
The convergence of power characteristic quantity, obtains trained neural network model；
Wherein, the weight parameter of the trained neural network model and offset parameter indicate first electrical nature
The corresponding relationship of amount and the second electrical nature amount；
Correspondingly, above-mentioned steps 203 can also include: to use inductance using the trained neural network model as described
Perception model.
In embodiments of the present invention, by using electrical nature amount as training data, to the neural network mould pre-established
Type is trained, and finally obtaining may be implemented to evaluate the electrical nature amount of input and export the instruction of electricity consumption satisfaction score
The neural network model perfected, using the trained neural network model as preset electricity consumption sensor model to alternative decision
The decision characteristic quantity of scheme is evaluated, and obtains electricity consumption satisfaction.
Optionally, the Power decision method further include: the electricity consumption sensor model is carried out with the preset time cycle
It updates.
In embodiments of the present invention, electricity consumption sensor model is periodically updated, can be allowed to adapt to the hair of power grid
Exhibition variation has higher accuracy, such as the above-mentioned preset time cycle can be three months.
Optionally, the decision scheme in the embodiment of the present invention includes stopping decision scheme of rationing the power supply, and above-mentioned decision characteristic quantity can
With include stop rationing the power supply time, the route that stops rationing the power supply, region of stopping rationing the power supply, the environment that stops rationing the power supply, region of stopping rationing the power supply user type and stop limiting
The electricity consumption purposes in electric region.
From the foregoing, it will be observed that the present invention is by obtaining multiple alternative decision schemes；Extract the multiple alternative decision scheme
In the corresponding decision characteristic quantity of each decision scheme；The corresponding decision characteristic quantity of each decision scheme is input to default
Electricity consumption sensor model, obtain customer electricity satisfaction corresponding with each decision scheme；The multiple alternative is determined
The highest decision scheme of customer electricity satisfaction is as the Power decision scheme chosen in plan scheme.It realizes to alternative decision
The quantification treatment of scheme has certain objectivity, and also contemplates the electricity consumption perception of client, so that the electric power of final checked
Decision scheme is the highest decision scheme of electricity consumption satisfaction, implements the Power decision scheme chosen, can obtain higher visitor
Family satisfaction.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
The following are the device of the invention embodiments can refer to above-mentioned corresponding the details of wherein not detailed description
Embodiment of the method.
Fig. 3 shows the structural schematic diagram of the Power decision device provided in an embodiment of the present invention based on electricity consumption perception, is
Convenient for explanation, only parts related to embodiments of the present invention are shown, details are as follows:
As shown in figure 3, a kind of Power decision device 3 based on electricity consumption perception includes: decision scheme acquiring unit 31, decision
Feature extraction unit 32, electricity consumption satisfaction evaluation unit 33 and decision scheme determination unit 34.
Decision scheme acquiring unit 31, for obtaining multiple alternative decision schemes；
Decision feature extraction unit 32, it is corresponding for extracting each decision scheme in the multiple alternative decision scheme
Decision characteristic quantity；
Electricity consumption satisfaction evaluation unit 33, it is default for the corresponding decision characteristic quantity of each decision scheme to be input to
Electricity consumption sensor model, obtain the corresponding customer electricity satisfaction of the decision scheme；
Decision scheme determination unit 34, for customer electricity satisfaction in the multiple alternative decision scheme is highest
Decision scheme is as the Power decision scheme chosen.
Optionally, the Power decision device 3 based on electricity consumption perception further include:
Electric power data acquiring unit, for obtaining electric power data；
Electrical nature amount extraction unit for carrying out data cleansing to the electric power data, and is extracted and is used with the client
The relevant electrical nature amount of electric satisfaction；
Model generation unit, for generating the electricity consumption sensor model according to the electrical nature amount.
Optionally, the Power decision device 3 based on electricity consumption perception further include:
Characteristic quantity division unit, for the electrical nature amount to be divided into the first electrical nature amount of institute and the second electric power spy
Sign amount, wherein the first electrical nature amount indicate directly to reflect the customer electricity satisfaction because becoming characteristic quantity, described the
Two electrical nature amounts indicate to influence the change characteristic quantity certainly of the customer electricity satisfaction；
Statistical analysis unit, for for statistical analysis to obtain the first electrical nature amount to the electrical nature amount
With the corresponding relationship of the second electrical nature amount；
The model generation unit is specifically used for, and obtains the electricity consumption sensor model based on the corresponding relationship.
Optionally, the statistical analysis unit is also used to, and it is special to second electric power to count the first electrical nature amount
The influence probability of sign amount；
Correspondingly, the model generation unit is specifically used for, established based on the influence probability special with first electric power
Sign amount is independent variable and using the second electrical nature amount as the decision-tree model of dependent variable.
Optionally, the Power decision device 3 based on electricity consumption perception further include:
Model initialization unit, for initializing preset neural network model；
Model training unit, for the defeated of the neural network model using the first electrical nature amount as after initializing
Enter, the neural network model after the initialization is trained, the output of the neural network model after the initialization
It is restrained to the second electrical nature amount, obtains trained neural network model；
The statistical analysis unit is also used to, with the weight parameter and offset parameter of the trained neural network model
Indicate the corresponding relationship of the first electrical nature amount and the second electrical nature amount；
Correspondingly, the model generation unit is specifically used for, using the trained neural network model as the use
Inductance perception model.
Optionally, the Power decision device 3 based on electricity consumption perception further include:
Model modification unit, for being updated with the preset time cycle to the electricity consumption sensor model.
Optionally, the decision scheme includes stopping decision scheme of rationing the power supply, the decision characteristic quantity include stop rationing the power supply the time, stop
Ration the power supply route, region of stopping rationing the power supply, the environment that stops rationing the power supply, region of stopping rationing the power supply user type and stopping ration the power supply the electricity consumption purposes in region.
From the foregoing, it will be observed that the present invention is by obtaining multiple alternative decision schemes；Extract the multiple alternative decision scheme
In the corresponding decision characteristic quantity of each decision scheme；The corresponding decision characteristic quantity of each decision scheme is input to default
Electricity consumption sensor model, obtain customer electricity satisfaction corresponding with each decision scheme；The multiple alternative is determined
The highest decision scheme of customer electricity satisfaction is as the Power decision scheme chosen in plan scheme.It realizes to alternative decision
The quantification treatment of scheme has certain objectivity, and also contemplates the electricity consumption perception of client, so that the electric power of final checked
Decision scheme is the highest decision scheme of electricity consumption satisfaction, implements the Power decision scheme chosen, can obtain higher visitor
Family satisfaction.
Fig. 4 is the schematic diagram for the terminal that one embodiment of the invention provides.As shown in figure 4, the terminal 4 of the embodiment includes:
Processor 40, memory 41 and it is stored in the computer program that can be run in the memory 41 and on the processor 40
42.The processor 40 realizes that above-mentioned each Power decision method based on electricity consumption perception is real when executing the computer program 42
Apply the step in example, such as step 101 shown in FIG. 1 is to step 104.Alternatively, the processor 40 executes the computer journey
The function of each module/unit in above-mentioned each Installation practice, such as the function of unit 31 to 34 shown in Fig. 3 are realized when sequence 42.
Illustratively, the computer program 42 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 41, and are executed by the processor 40, to complete the present invention.Described one
A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for
Implementation procedure of the computer program 42 in the terminal 4 is described.For example, the computer program 42 can be divided into
Decision scheme acquiring unit, decision feature extraction unit, electricity consumption satisfaction evaluation unit and decision scheme determination unit.Each unit
Concrete function is as follows:
Decision scheme acquiring unit, for obtaining multiple alternative decision schemes；
Decision feature extraction unit, it is corresponding for extracting each decision scheme in the multiple alternative decision scheme
Decision characteristic quantity；
Electricity consumption satisfaction evaluation unit, it is preset for the corresponding decision characteristic quantity of each decision scheme to be input to
Electricity consumption sensor model obtains the corresponding customer electricity satisfaction of the decision scheme；
Decision scheme determination unit, for customer electricity satisfaction in the multiple alternative decision scheme is highest certainly
Plan scheme is as the Power decision scheme chosen.
The terminal 4 can be desktop PC, notebook, palm PC and cloud server etc. and calculate equipment.Institute
Stating terminal may include, but be not limited only to, processor 40, memory 41.It will be understood by those skilled in the art that Fig. 4 is only eventually
The example at end 4, the not restriction of structure paired terminal 4 may include than illustrating more or fewer components, or the certain portions of combination
Part or different components, such as the terminal can also include input-output equipment, network access equipment, bus etc..
Alleged processor 40 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 41 can be the internal storage unit of the terminal 4, such as the hard disk or memory of terminal 4.It is described
Memory 41 is also possible to the External memory equipment of the terminal 4, such as the plug-in type hard disk being equipped in the terminal 4, intelligence
Storage card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash Card)
Deng.Further, the memory 41 can also both include the internal storage unit of the terminal 4 or set including external storage
It is standby.The memory 41 is for other programs and data needed for storing the computer program and the terminal.It is described to deposit
Reservoir 41 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit, can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.Above system
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal and method can pass through
Other modes are realized.For example, device/terminal embodiment described above is only schematical, for example, the module or
The division of unit, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units
Or component can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, institute
Display or the mutual coupling or direct-coupling or communication connection discussed can be through some interfaces, device or unit
INDIRECT COUPLING or communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or
In use, can store in a computer readable storage medium.Based on this understanding, the present invention realizes above-mentioned implementation
All or part of the process in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program generation
Code can be source code form, object identification code form, executable file or certain intermediate forms etc..The computer-readable medium
It may include: any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic that can carry the computer program code
Dish, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that described
The content that computer-readable medium includes can carry out increasing appropriate according to the requirement made laws in jurisdiction with patent practice
Subtract, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium do not include be electric carrier signal and
Telecommunication signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of Power decision method based on electricity consumption perception characterized by comprising
Obtain multiple alternative decision schemes；
Extract the corresponding decision characteristic quantity of each decision scheme in the multiple alternative decision scheme；
The corresponding decision characteristic quantity of each decision scheme is input to preset electricity consumption sensor model, obtain with it is described each
The corresponding customer electricity satisfaction of decision scheme；
Using the highest decision scheme of customer electricity satisfaction in the multiple alternative decision scheme as the Power decision chosen
Scheme.
2. the Power decision method according to claim 1 based on electricity consumption perception, which is characterized in that each determine by described
The corresponding decision characteristic quantity of plan scheme is input to before preset electricity consumption sensor model further include:
Obtain electric power data；
Data cleansing is carried out to the electric power data, and extracts electrical nature amount relevant to the customer electricity satisfaction；
The electricity consumption sensor model is generated according to the electrical nature amount.
3. the Power decision method according to claim 2 based on electricity consumption perception, which is characterized in that described according to the electricity
Power characteristic quantity generates the electricity consumption sensor model
The electrical nature amount is divided into the first electrical nature amount of institute and the second electrical nature amount, wherein first electric power
Characteristic quantity indicate directly to reflect the customer electricity satisfaction because becoming characteristic quantity, the second electrical nature amount indicates to influence institute
That states customer electricity satisfaction becomes characteristic quantity certainly；
It is for statistical analysis to the electrical nature amount to obtain the first electrical nature amount and the second electrical nature amount
Corresponding relationship；
The electricity consumption sensor model is obtained based on the corresponding relationship.
4. the Power decision method according to claim 3 based on electricity consumption perception, which is characterized in that described to the electric power
Characteristic quantity is for statistical analysis to include: with the corresponding relationship for obtaining the first electrical nature amount and the second electrical nature amount
The first electrical nature amount is counted to the influence probability of the second electrical nature amount；
Correspondingly, described obtained the electricity consumption sensor model and included: based on the corresponding relationship
It is established based on the influence probability by independent variable of the first electrical nature amount and is with the second electrical nature amount
The decision-tree model of dependent variable.
5. the Power decision method according to claim 3 based on electricity consumption perception, which is characterized in that described to the electric power
Characteristic quantity is for statistical analysis to include: with the corresponding relationship for obtaining the first electrical nature amount and the second electrical nature amount
Initialize preset neural network model；
The input of neural network model after using the first electrical nature amount as initialization, to the nerve after the initialization
Network model is trained, and the output of the neural network model after the initialization is received to the second electrical nature amount
It holds back, obtains trained neural network model；
Wherein, the weight parameter of the trained neural network model and offset parameter indicate the first electrical nature amount and
The corresponding relationship of the second electrical nature amount；
Correspondingly, described obtained the electricity consumption sensor model and included: based on the corresponding relationship
Using the trained neural network model as the electricity consumption sensor model.
6. the Power decision method according to any one of claim 1 to 5 based on electricity consumption perception, which is characterized in that institute
State Power decision method further include:
The electricity consumption sensor model is updated with the preset time cycle.
7. the Power decision method according to any one of claim 1 to 5 based on electricity consumption perception, which is characterized in that institute
Stating decision scheme includes stopping decision scheme of rationing the power supply, the decision characteristic quantity include stop rationing the power supply the time, the route that stops rationing the power supply, stop the area that rations the power supply
Domain, the environment that stops rationing the power supply, region of stopping rationing the power supply user type and stopping ration the power supply the electricity consumption purposes in region.
8. a kind of Power decision device based on electricity consumption perception characterized by comprising
Decision scheme acquiring unit, for obtaining multiple alternative decision schemes；
Decision feature extraction unit, for extracting the corresponding decision of each decision scheme in the multiple alternative decision scheme
Characteristic quantity；
Electricity consumption satisfaction evaluation unit, for the corresponding decision characteristic quantity of each decision scheme to be input to preset electricity consumption
Sensor model obtains the corresponding customer electricity satisfaction of the decision scheme；
Decision scheme determination unit, for by the highest decision-making party of customer electricity satisfaction in the multiple alternative decision scheme
Case is as the Power decision scheme chosen.
9. a kind of terminal, including memory, processor and storage can be run in the memory and on the processor
Computer program, which is characterized in that the processor realizes claim 1 to 7 as above when executing the computer program
Any one of described in based on electricity consumption perception Power decision method the step of.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In the computer program is realized when being executed by processor and perceived described in any one of claims 1 to 7 as above based on electricity consumption
Power decision method the step of.
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