DocumentCode :
2726685
Title :
Short-term Load Forecasting Based on Fuzzy Neural Network
Author :
Wang, Cuiru ; Cui, Zhikun ; Chen, Qi
fYear :
2007
fDate :
2-3 Dec. 2007
Firstpage :
335
Lastpage :
338
Abstract :
Short-term load forecasting method is the basis of optimizing the operation for power systems. Accurate load forecasting is helpful to improve the security and economic effect of power systems and can reduce the cost of generating electricity. Therefore, finding an appropriate load forecasting method to improve accuracy of forecasting has important application value. After analyzing the meaning and methods of power system load forecasting, this paper explains the general theory of Artificial Neural Network (ANN) and Fuzzy Inference System (FIS), and builds a load forecasting method based on Fuzzy Neural Network.
Keywords :
Artificial neural networks; Costs; Economic forecasting; Fuzzy neural networks; Load forecasting; Optimization methods; Power generation economics; Power system analysis computing; Power system economics; Power system security; Fuzzy Logic; Load Forecast; Neural Networks; Power System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, Workshop on
Conference_Location :
Zhang Jiajie
Print_ISBN :
978-0-7695-3063-5
Type :
conf
DOI :
10.1109/IITA.2007.17
Filename :
4427031
Link To Document :
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