Open AccessShort-term nodal congestion price forecasting in a large-scale power market using ANN with genetic optimization training
Author(s) -
Majid Moazzami,
RahmatAllah Hooshmand
Publication year - 2012
Publication title -
turkish journal of electrical engineering and computer sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 30
eISSN - 1303-6203
pISSN - 1300-0632
DOI - 10.3906/elk-1008-697
Subject(s) - autoregressive integrated moving average , artificial neural network , genetic algorithm , autoregressive conditional heteroskedasticity , computer science , electric power system , backpropagation , mathematical optimization , term (time) , time series , power (physics) , artificial intelligence , econometrics , machine learning , economics , mathematics , volatility (finance) , physics , quantum mechanics
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