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...

Full description

Bibliographic Details

Published in:	Applied Mathematical Modelling Vol. 67; p. 101
Main Authors:	Jiang, Ping, Li, Ranran, Li, Hongmin
Format:	Journal Article
Language:	English
Published:	New York Elsevier BV 01.03.2019
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!