Power retail package searching and sequencing simulation system and method based on BP-ANN
A simulation method and power technology, applied in the field of information processing, can solve problems such as difficulty for users and inability to learn from market models, so as to improve user experience and promote healthy competition.
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Embodiment 1
[0045] 1. Problem definition
[0046] In the electricity market, the practical significance of sorting the search for power retail packages and analyzing the satisfaction of power retail users with power retail packages is to analyze the choice of power retail users in the package search results of the power retail platform based on current and historical data. Possibility of electricity retail package. Based on this goal setting, in order to carry out quantitative analysis, the satisfaction of electricity retail users with electricity retail packages is defined as: according to the degree of importance that electricity retail users attach to certain characteristics of electricity retail packages, the power retail packages are given a comprehensive score. The higher the comprehensive score of the retail package, the more satisfied the electricity retail user is with the electricity retail package, and the greater the possibility that the electricity retail user chooses the ele...
Embodiment 2
[0110] 1. Construction of BP-ANN (Artificial Neural Network) Electricity Retail Package Comprehensive Scoring Model
[0111] 1. Determine and calculate the characteristic factor
[0112] Taking all the electricity retail packages of the electricity retail platform as samples, according to the definition and calculation method of the characteristic factors, the characteristic factor of each electricity retail package is calculated item by item:
[0113] (1) Electric energy price characteristic factor (x 1 ): Calculated by dividing the lowest price of the electricity retail package by the average price of all the electricity retail packages.
[0114] (2) Characteristic factor of electricity price for excess power consumption (x 2 ): Divide the difference between the price of excess power consumption provided by the electricity retail package (the arithmetic mean value of the electricity price for each segment of excess power consumption) and the minimum price of electricity th...
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