Power retail user viscosity analysis method and system oriented to power selling company
A technology of user viscosity and analysis method, applied in the field of electricity trading, can solve the problem of lack of electricity retail user viscosity analysis method, and achieve the effect of promoting healthy competition, sustainable and healthy development, and improving service level
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Embodiment 1
[0086] A method for analyzing the viscosity of electricity retail users for electricity sales companies, including:
[0087] Step (1), constructing a data set: select the data of m months before the time point to be calculated as historical data, and then p monthly data as the prediction interval;
[0088] Step (2), calculate the correlation factor: calculate the power price factor x provided by the electricity sales company separately 1 , historical service satisfaction factor x 2 , Power retail user behavior factors x 3 , Credit evaluation factors of electricity sales companies x 4 and comprehensive strength factors of electricity sales companies x 5 ;
[0089] Step (3), build a viscosity calculation model: add a 0th dimension x 0 =1, according to the result obtained in step (2), obtain the augmentation factor vector x=(x 0 , x 1 ,...,x n ), and the corresponding construction augmented weight vector is w=(ω 0 , ω 1 ,...,ω n ); n=5;
[0090] The viscosity calcul...
Embodiment 2
[0100] A method for analyzing the viscosity of electricity retail users for electricity sales companies, including:
[0101] Step (1), build the data set: select m before the time point to be calculated monthly data As historical data, after p monthly data as the prediction interval;
[0102] Step (2), calculate the correlation factor: calculate the power price factor x provided by the electricity sales company separately 1 , historical service satisfaction factor x 2 , Power retail user behavior factors x 3 , Credit evaluation factors of electricity sales companies x 4 and comprehensive strength factors of electricity sales companies x 5 ;
[0103] Step (3), build a viscosity calculation model: add a 0th dimension x 0 =1, according to the result obtained in step (2), obtain the augmentation factor vector x=(x 0 , x 1 ,...,x n ), and the corresponding construction augmented weight vector is w=(ω 0 , ω 1 ,...,ω n ); n=5;
[0104] The viscosity calculation model ...
Embodiment 3
[0120] Step (1), build the data set: select m before the time point to be calculated monthly data As historical data, after p monthly data as the prediction interval;
[0121] Step (2), calculate the correlation factor: calculate the power price factor x provided by the electricity sales company separately 1 , historical service satisfaction factor x 2 , Power retail user behavior factors x 3 , Credit evaluation factors of electricity sales companies x 4 and comprehensive strength factors of electricity sales companies x 5 ;
[0122] Step (3), build a viscosity calculation model: add a 0th dimension x 0 =1, according to the result obtained in step (2), obtain the augmentation factor vector x=(x 0 , x 1 ,...,x n ), and the corresponding construction augmented weight vector is W=(ω 0 , ω 1 ,...,ω n ); n=5;
[0123] The viscosity calculation model is as follows:
[0124]
[0125] Step (4), model parameter solution: m obtained in step (1) indivual Sample data, ...
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