Standard management of electricity price implementation based on system learning algorithms
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(State Grid Zhejiang Changxing County Power Supply Co., Ltd., Huzhou 313100, China)

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TM732;TK018

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    Abstract:

    There is a price gap in the current electricity price system. The violation of contract of high price and low connection by customers violates the legitimate interests of power supply enterprises. The traditional manual household - by - household power inspection method is not only inefficient, but also has the problem of “human power”and“interes power”corruption due to the inspectors own reasons. The precise closed-loop management mechanism of electricity price is formed by using the massive real -time electricity data of marketing system and acquisition system, and establishing the data inspection model.

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李跃华,卢 峰,黄益军.基于系统学习算法的电价执行规范性管理[J].电力需求侧管理英文版,2019,21(S1):82-87.

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History
  • Received:August 01,2019
  • Revised:September 03,2019
  • Adopted:
  • Online: May 15,2023
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