Open AccessOptimization of the Active Composition of the Wind Farm Using Genetic Algorithms
Author(s) -
Nataliya Shakhovska,
Mykola Medykovskyy,
Roman Melnyk,
Natalia Kryvinska
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2021.018761
Subject(s) - genetic programming , genetic algorithm , dynamic programming , mathematical optimization , wind power , computer science , algorithm , standard deviation , wind speed , set (abstract data type) , power (physics) , turbine , mathematics , engineering , statistics , machine learning , mechanical engineering , physics , quantum mechanics , meteorology , electrical engineering , programming language
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