An implementation of a neural network based load forecasting model for the EMS

IEEE Transactions on Power Systems

Volumn 9, Issue 4, 1994, Pages 1956-1962

  Papalexopoulos, Alex D ^a   Hao, Shangyou ^a   Peng, Tie Mao ^b  

^a PACIFIC GAS AND ELECTRIC COMPANY   (United States)

^b NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DISCRETE TIME CONTROL SYSTEMS; ELECTRIC UTILITIES; ERRORS; KALMAN FILTERING; MODELS; NEURAL NETWORKS; REAL TIME SYSTEMS; REGRESSION ANALYSIS; STATE SPACE METHODS; TECHNOLOGY;

ARTIFICIAL NEURAL NETWORKS; AUTOREGRESSIVE MOVING AVERAGE; ENERGY MANAGEMENT SYSTEM; OPTIMAL POWER FLOW; SYSTEM LOAD FORECASTING;

ELECTRIC LOAD FORECASTING;

EID: 0028548319     PISSN: 08858950     EISSN: 15580679     Source Type: Journal    
DOI: 10.1109/59.331456     Document Type: Article

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