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A Hybrid Forecasting Model Based on Modified Bat Algorithm and ELM: A Case Study for Wind Speed Forecasting
Author(s) -
Yujia Zhang,
Long Chen
Publication year - 2018
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/153/2/022001
Subject(s) - extreme learning machine , wind power , wind speed , bat algorithm , computer science , algorithm , reliability (semiconductor) , wind power forecasting , conjugate gradient method , hybrid algorithm (constraint satisfaction) , mathematical optimization , power (physics) , electric power system , artificial neural network , artificial intelligence , meteorology , mathematics , engineering , quantum mechanics , particle swarm optimization , electrical engineering , constraint logic programming , constraint satisfaction , probabilistic logic , physics

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