An improved electric power system short-term load forecasting method

ZHAO Xue-cheng~1; WANG Li-jun~2; ZHAO Yu-hong~2

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An improved electric power system short-term load forecasting method

更新时间：2025-11-18

- An improved electric power system short-term load forecasting method
- Issue 1, Pages: 23-25+56(2006)
- 作者机构：
  
  1.   巫水流域水利水电开发有限公司
  2.   南华大学电气工程学院
  3.   南华大学电气工程学院湖南邵阳422500
  4.   湖南衡阳421001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM714
- Published：2006
- 稿件说明：
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[1]赵学成,王丽君,赵宇红.一种改进的电力系统短期负荷预测方法[J].湖南电力,2006(01):23-25+56.

ZHAO Xue-cheng~1, WANG Li-jun~2, ZHAO Yu-hong~2. An improved electric power system short-term load forecasting method[J]. 2006, (1): 23-25+56.
[1]赵学成,王丽君,赵宇红.一种改进的电力系统短期负荷预测方法[J].湖南电力,2006(01):23-25+56. DOI：

ZHAO Xue-cheng~1, WANG Li-jun~2, ZHAO Yu-hong~2. An improved electric power system short-term load forecasting method[J]. 2006, (1): 23-25+56. DOI：

摘要

为提高电力系统短期负荷预测精度

综合模糊逻辑和神经网络的长处构建了基于自适应模糊神经网络的短期负荷预测模型。将该模型和算法应用于地区电网的短期负荷预测

预测效果良好。

Abstract

In order to improve the precision of electric power system load forecasting

a short-term load forecasting model based on adaptive fuzzy neural network is put foreword.The proposed STLF method is applied in some local power system and forecasting performance is satisfied.

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Hunan Changde Electric Power Survey & Design Institute

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