Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting
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Title
Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting
Authors
Keywords
Hybrid short-term load forecasting, Discrete wavelet transform, Optimization, Ensemble method
Journal
Sustainable Cities and Society
Volume 66, Issue -, Pages 102679
Publisher
Elsevier BV
Online
2020-12-25
DOI
10.1016/j.scs.2020.102679
References
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- (2016) Ping Jiang et al. APPLIED MATHEMATICAL MODELLING
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