Probabilistic prediction of wind speed using an integrated deep belief network optimized by a hybrid multi-objective particle swarm algorithm

An improvement in wind speed prediction is highly necessary for estimating the accuracy as well as stability of wind power. In this work, we proposed probabilistic forecasts of wind speed for predicting the short-term wind speed intervals. The optimal model has been designed by considering three dif...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 126; s. 107034
Hlavní autoři:	Sarangi, Snigdha, Dash, Pradipta Kishore, Bisoi, Ranjeeta
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.11.2023
Témata:	Deep belief network Multi-kernel-random-vector-functional-link-network Multi-objective sine-cosine particle-swarm-optimization Prediction IntervalsPrediction interval nominal confidence Variational mode decomposition Wind speed prediction Variational mode decomposition Wind speed prediction Prediction IntervalsPrediction interval nominal confidence Deep belief network Multi-kernel-random-vector-functional-link-network Multi-objective sine-cosine particle-swarm-optimization
ISSN:	0952-1976
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