Electricity retail market evaluation based on fruit fly optimized fuzzy neural network model

李德智; 张文文; 嵇建飞

doi:10.3969/j.issn.1009-1831.2019.01.007

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Electricity retail market evaluation based on fruit fly optimized fuzzy neural network model

更新时间：2026-03-05

- Electricity retail market evaluation based on fruit fly optimized fuzzy neural network model
- Vol. 21, Issue 1, (2019)
- 作者机构：
  
  1. 中国电力科学研究院,北京,100192
  2. 华北电力大学,北京,102206
  3. 国网上海市电力公司,上海,200122
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2019.01.007
  CLC：
- Published：2019
- 稿件说明：
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李德智, 张文文, 嵇建飞. Electricity retail market evaluation based on fruit fly optimized fuzzy neural network model[J]. 2019, 21(1).
DOI：

李德智, 张文文, 嵇建飞. Electricity retail market evaluation based on fruit fly optimized fuzzy neural network model[J]. 2019, 21(1). DOI： 10.3969/j.issn.1009-1831.2019.01.007.

摘要

科学评估售电市场的运行绩效对市场主体有着重大的影响。首先，建立售电市场指标评价体系；其次，构建果蝇优化模糊神经网络综合评价模型，对售电市场进行定量评估；最后，通过评价结果分析售电市场运行状况，为市场参与者和监管部门提供相应的决策支持。

Abstract

Evaluating the performance of electricity retail market scientifically has a significant impact on market players.First of all

index evaluation system is established. Secondly

fruit fly optimized fuzzy neural network comprehensive evaluation model is constructed to evaluate the performance of market quantitatively. Finally

the performance of the electricity retail market is analyzed through the result to provide appropriate decisions for market participants and regulators.

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