A method and system for recommending residential electricity bill packages based on typical users

A typical user and recommendation method technology, applied in data processing applications, instruments, calculations, etc., can solve the problem of difficult to use electricity package guidance, and achieve the effect of improving recommendation efficiency, rational user classification, and ensuring full utilization

Active Publication Date: 2021-06-01
SHANDONG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the above-mentioned method of recommending electricity bill packages based on the similarity of the user's electricity consumption behavior can only achieve a simple correspondence between the electricity consumption behavior and the electricity bill package, and the user does not know what electricity consumption strategy is more reasonable after purchasing this electricity bill package. That is to say, it is difficult to give full play to the guidance of electricity consumption behavior by the electricity tariff package, and it is impossible to truly realize the peak-shaving and valley-filling of the power grid, and solve the pressure on the balance of supply and demand of the power grid

Method used

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  • A method and system for recommending residential electricity bill packages based on typical users
  • A method and system for recommending residential electricity bill packages based on typical users
  • A method and system for recommending residential electricity bill packages based on typical users

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Embodiment 1

[0052] Such as figure 1 As shown, this embodiment provides a typical user-based electricity bill package method, which analyzes and extracts the characteristics of equipment power consumption, realizes user classification reflecting the power consumption law of equipment through typical users, and recommends electricity bill packages for typical users, which can effectively Improve the recommendation efficiency, and at the same time get the electricity consumption strategy corresponding to the recommended electricity tariff package, which helps to tap the user's electricity consumption adjustment potential, reduces the pressure on the balance of supply and demand of the grid, and effectively reduces the user's electricity consumption cost. Including the following steps:

[0053] Step 1: Use fuzzy clustering to extract equipment power consumption characteristics through the equipment power consumption information of residential users;

[0054] Step 2: Solve the typical user se...

Embodiment 2

[0107] This embodiment provides a system for recommending electricity bill packages for residents based on typical users, including:

[0108] The power consumption information acquisition module is configured to obtain equipment power consumption information of residential users;

[0109] The power consumption feature extraction module is configured to extract the power consumption feature set of each device;

[0110] The typical user identification module is configured to solve the typical user set based on the relationship between the power consumption characteristics of the equipment and the user characteristics;

[0111] The power consumption strategy optimization module is configured to solve the benchmark power consumption strategy of typical user equipment for different electricity tariff packages with the goal of minimizing the unit electricity price;

[0112] The electricity rate package matching module is configured to determine the electricity rate package to be re...

Embodiment 3

[0114] This embodiment also provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and executed on the processor. When the computer instructions are executed by the processor, the steps of the method in Embodiment 1 are completed.

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Abstract

The present invention proposes a method and system for recommending residential electricity tariff packages based on typical users. The method includes the following steps: collecting equipment electricity consumption information of residential users through non-intrusive load monitoring, extracting equipment electricity consumption characteristics by fuzzy clustering; constructing decision-making The tree model reflects the mapping relationship between device features and user features. The decision tree pruning method based on depth-first search is used to solve the set of typical users. Taking advantage of the observability of device features of typical users, an electricity package recommendation model is built with the goal of minimizing electricity costs. ; Use the particle swarm algorithm to solve the model, get the benchmark electricity consumption strategy corresponding to the alternative package, and recommend the electricity package to the user accordingly. The invention guides users to fully respond to electricity price signals through a power consumption benchmarking strategy specific to equipment adjustment, effectively reduces the power consumption cost of users, taps the power consumption adjustment potential of users, realizes peak shaving and valley filling, and reduces grid supply and demand balance pressure.

Description

technical field [0001] The invention relates to the technical field of optimal configuration of electric power resources, in particular to a method and system for recommending residential electricity bill packages based on typical users. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Electricity tariff package means that electricity sales companies package different types and levels of electricity prices and other electricity auxiliary services according to the load characteristics and different needs of power users, and take certain preferential measures to provide users. While meeting customers' differentiated electricity demand, guide them to participate in demand response to ease the pressure on the balance of supply and demand in the power system. The number of residential electricity users is huge and their electricity consumption ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/06
CPCG06Q50/06
Inventor 张利徐广达鉴庆之李雪亮孙东磊刘晓明曹相阳
Owner SHANDONG UNIV
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