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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Veröffentlicht in:	Applied Mathematical Modelling Jg. 67; S. 101
Hauptverfasser:	Jiang, Ping, Li, Ranran, Li, Hongmin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier BV 01.03.2019
Schlagworte:	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
Online-Zugang:	Volltext
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