Open AccessWind power prediction based on genetic neural network
Author(s) -
Suhan Zhang
Publication year - 2017
Publication title -
aip conference proceedings
Language(s) - Uncategorized
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.4981551
Subject(s) - artificial neural network , computer science , wind power , genetic algorithm , electric power system , scheduling (production processes) , grid , wind power forecasting , power grid , stability (learning theory) , power (physics) , mathematical optimization , artificial intelligence , machine learning , engineering , mathematics , physics , quantum mechanics , electrical engineering , geometry
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