Short-term load prediction based on dynamic adjustment ant colony system and back propagation neural network hybrid algorithm

Shuili Fadian Xuebao/Journal of Hydroelectric Engineering

Volumn 30, Issue 3, 2011, Pages

  Shi, Biao ^a   Li, Yuxia ^a   Yu, Xinhua ^b   Yan, Wang ^a  

^a XI'AN UNIVERSITY OF TECHNOLOGY   (China)

^b QINGDAO UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

DAACS BP hybrid algorithm; Dynamic adjustment ant colony system algorithm; Hydropower engineering; Short term load forecast; The back propagation neural network

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; DYNAMIC ADJUSTMENT; HYBRID ALGORITHMS; HYDROPOWER ENGINEERING; SHORT-TERM LOAD FORECASTS;

ALGORITHMS; BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; ELECTRIC LOAD FORECASTING; FORECASTING;

NEURAL NETWORKS;

EID: 79960034762     PISSN: 10031243     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

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