Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction-Reference-Cited by-同舟云学术

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Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction

Published:2018-04 Issue: Volume:161 Page:266-283
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Liu Hui,Wu Haiping,Li Yanfei

Funder

National Natural Science Foundation of China

Changsha Science & Technology Project

Central South University

Publisher

Elsevier BV

Subject

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

Reference40 articles.

1. A combined multivariate model for wind power prediction;Ouyang;Energy Convers Manage,2017

2. Current status and future advances for wind speed and power forecasting;Jung;Renew Sustain Energy Rev,2014

3. Distributed generation as a balancing resource for wind generation;Kennedy;IET Renew Power Gener,2007

4. A review of wind power and wind speed forecasting methods with different time horizons;Soman;North American Power Symposium IEEE,2010

5. Multi-step wind speed and power forecasts based on a WRF simulation and an optimized association method;Zhao;Appl Energy,2017

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