Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM-Reference-Cited by-同舟云学术

Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM

Published:2019-05 Issue: Volume:187 Page:356-377
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Fu Wenlong^ORCID,Wang Kai,Li Chaoshun^ORCID,Tan Jiawen

Funder

NSFC

Yichang Science and Technology Bureau

Open Fund of Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station

Hubei Provincial Major Project for Technical Innovation

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

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4. Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods;Zhang;Appl Energy,2015

5. A review of combined approaches for prediction of short-term wind speed and power;Tascikaraoglu;Renewable Sustainable Energy Rev,2014

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