Multi-objective algorithm for the design of prediction intervals for wind power forecasting model

A composite forecasting framework is designed and implemented successfully to estimate the prediction intervals of wind speed time series simultaneously through machine learning method embedding a newly proposed optimization method (multi-objective salp swarm algorithm). In this study, data pre-proc...

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Vydané v:	Applied Mathematical Modelling Ročník 67; s. 101
Hlavní autori:	Jiang, Ping, Li, Ranran, Li, Hongmin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier BV 01.03.2019
Predmet:	Algorithms Datasets Electric power generation Feature extraction Forecasting Fuzzy set theory Fuzzy sets Intervals Machine learning Multiple objective analysis Pareto optimization Variation Wind power Wind power generation Wind speed
ISSN:	1088-8691, 0307-904X
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