Study of the Model for Forecasting Vendition kW·h Using ANN

ZHOU Hui; WANG Wei; LI Xiao-mei

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Study of the Model for Forecasting Vendition kW·h Using ANN

更新时间：2025-11-18

- Study of the Model for Forecasting Vendition kW·h Using ANN
- Issue 5, Pages: 1-3(2004)
- 作者机构：
  
  1. 北京交通大学电气工程学院
  2. 北京交通大学电气工程学院北京100044
- 作者简介：
- 基金信息：
- DOI：
  CLC： F407.61
- Published：2004
- 稿件说明：
移动端阅览
[1]周晖,王玮,李晓梅.基于ANN的销售电量预测模型的研究[J].湖南电力,2004(05):1-3.

ZHOU Hui, WANG Wei, LI Xiao-mei. Study of the Model for Forecasting Vendition kW·h Using ANN[J]. 2004, (5): 1-3.
[1]周晖,王玮,李晓梅.基于ANN的销售电量预测模型的研究[J].湖南电力,2004(05):1-3. DOI：

ZHOU Hui, WANG Wei, LI Xiao-mei. Study of the Model for Forecasting Vendition kW·h Using ANN[J]. 2004, (5): 1-3. DOI：

摘要

在东北地区电力供需形势逐渐缓和的情况下

电力市场开拓的任务变得十分艰巨

正确地预测出地区销售电量的水平

对于决策者合理地确定销售总定额

分解销售指标

搞好电力企业的经营是十分关键的。运用人工神经网络方法中的 BP算法

利用长春地区历年来销售电量的数据

建立起预测模型

并用 2 0 0 3年的实际值与预测值进行校验

证明了该方法较之传统的回归预测方法

有着更好的预测精度

Abstract

In electricity market

the prediction of kW·h is very important for decision-makers. It is because that the prediction kW·h is the base of total vendition kW·h to be determined

and the base of decomposing the total vendition kW·h into small ones related to individual customers. In this paper

Changchun City

located at the northeast of People’s Republic of China

is employed to be studied. Based on historical vendition kW·h data of the city and the theory of Back Propagation Artificial Neural Network

the forecasting model is deduced. Simulation results show that the forecasting precision of ANN is higher than that of regression approach.

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Related Author

DENG Xiao-ying

ZHOU Hui1

WANG Yi1

WANG Wei1

LI Tao2

YANG Hong2

Related Institution

Huazhong University of Science and Technology

School of Electric Engineering,Beijing Jiaotong University

North ChinaElectric Power Grid Corporation

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