Short-term Load Forecasting Based on Fuzzy Neural Network

I
IITA
2007
Workshop on Intelligent Information Technology Application (IITA 2007)
Abstract - Short-term Load Forecasting Based on Fuzzy Neural Network

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Cuiru Wang Articles by Zhikun Cui Articles by Qi Chen

Workshop on Intelligent Information Technology Application (IITA 2007)

Zhang Jiajia, China

December 02-December 03

ISBN: 0-7695-3063-X

	ASCII Text	x
	Cuiru Wang, Zhikun Cui, Qi Chen, "Short-term Load Forecasting Based on Fuzzy Neural Network," Intelligent Information Technology Applications, 2007 Workshop on, pp. 335-338, Workshop on Intelligent Information Technology Application (IITA 2007), 2007.

	BibTex	x
	@article{ 10.1109/IITA.2007.17, author = {Cuiru Wang and Zhikun Cui and Qi Chen}, title = {Short-term Load Forecasting Based on Fuzzy Neural Network}, journal ={Intelligent Information Technology Applications, 2007 Workshop on}, volume = {0}, year = {2007}, isbn = {0-7695-3063-X}, pages = {335-338}, doi = {http://doi.ieeecomputersociety.org/10.1109/IITA.2007.17}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Intelligent Information Technology Applications, 2007 Workshop on TI - Short-term Load Forecasting Based on Fuzzy Neural Network SN - 0-7695-3063-X SP335 EP338 A1 - Cuiru Wang, A1 - Zhikun Cui, A1 - Qi Chen, PY - 2007 KW - Power System KW - Load Forecast KW - Neural Networks KW - Fuzzy Logic VL - 0 JA - Intelligent Information Technology Applications, 2007 Workshop on ER -

Cuiru Wang

Zhikun Cui

Qi Chen

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IITA.2007.17

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.

Index Terms:

Power System, Load Forecast, Neural Networks, Fuzzy Logic

Citation:

Cuiru Wang, Zhikun Cui, Qi Chen, "Short-term Load Forecasting Based on Fuzzy Neural Network," iita, pp.335-338, Workshop on Intelligent Information Technology Application (IITA 2007), 2007

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.