Typical user-based resident electricity charge package recommendation method and system
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A typical user and recommendation method technology, applied in data processing applications, instruments, calculations, etc., can solve problems such as difficulty in guiding electricity bills
Active Publication Date: 2020-10-20
SHANDONG UNIV +1
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[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
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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 invention provides a typical user-based resident electricity charge package recommendation method and system. The typical user-based resident electricity charge package recommendation method comprises the following steps of: collecting equipment power utilization information of a resident user through non-intrusive load monitoring, and extracting equipment power utilization features through fuzzy clustering; constructing a decision tree model to reflect a mapping relationship between equipment features and user features, and solving a typical user set by adopting a decision tree pruning method based on depth-first search; constructing an electricity charge package recommendation model by using the equipment feature observability advantage of typical users and taking electricity chargeminimization as a target; and solving the electricity charge package recommendation model by adopting a particle swarm algorithm to obtain a benchmarking power utilization strategy corresponding to analternative package, and recommending an electricity charge package to the user according to the benchmarking power utilization strategy. According to the typical user-based resident electricity charge package recommendation method, the user is guided to fully respond to an electricity price signal through adopting the electricity benchmarking strategy specifically for equipment adjustment, the electricity cost of the user is effectively reduced, the electricity adjustment potential of the user is excavated to realize peak clipping and valley filling, and the supply and demand balance pressure of the power grid is reduced.
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 ...
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