Recurrent neural network for forecasting next 10 years loads of nine Japanese utilities

Neurocomputing

Volumn 23, Issue 1-3, 1998, Pages 125-133

  Kermanshahi, Bahman ^a  

^a CENTRAL RESEARCH INSTITUTE OF ELECTRIC POWER INDUSTRY   (Japan)

Author keywords

Artificial neural networks; Contribution factor; Economy factors; Long term load forecasting; Recurrent neural networks

Indexed keywords

BACKPROPAGATION; ELECTRIC CURRENTS; ELECTRIC LOAD FORECASTING; ELECTRIC UTILITIES; FEEDFORWARD NEURAL NETWORKS;

JAPANESE UTILITIES; SLIDING WINDOW TRAINING METHOD;

RECURRENT NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; DATA ANALYSIS; ECONOMICS; FORECASTING; JAPAN; PLANNING; POWER SUPPLY; PRIORITY JOURNAL; REVIEW; SIMULATION;

EID: 0032495049     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(98)00073-3     Document Type: Article

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