A new ARMAX model based on evolutionary algorithm and particle swarm optimization for short-term load forecasting-Reference-Cited by-同舟云学术

A new ARMAX model based on evolutionary algorithm and particle swarm optimization for short-term load forecasting

Published:2008-10 Issue:10 Volume:78 Page:1679-1685
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Wang Bo,Tai Neng-ling,Zhai Hai-qing,Ye Jian,Zhu Jia-dong,Qi Liang-bo

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference11 articles.

1. Next day load curve forecasting using hybrid correction method;Senjyu;IEEE Trans. Power Syst.,2005

2. New short-term load forecasting principle with wavelet transform fuzzy neural network for the power systems;Tai;Proc. CSEE,2004

3. Neural network for short-term load forecasting: a review and evolution;Hippert;IEEE Trans. Power Syst.,2001

4. Application of a fuzzy neural network combined with a chaos genetic algorithm and simulated annealing to short-term load forecasting;Liao;IEEE Trans. Power Syst.,2006

5. Load forecasting using support vector machines: a study on EUNITE competition 2001;Chen;IEEE Trans. Power Syst.,2004

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