Hybrid model for short-term wind power forecasting based on singular spectrum analysis and a temporal convolutional attention network with an adaptive receptive field-Reference-Cited by-同舟云学术

Hybrid model for short-term wind power forecasting based on singular spectrum analysis and a temporal convolutional attention network with an adaptive receptive field

Published:2022-10 Issue: Volume:269 Page:116138
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Shao Zhen,Han Jun,Zhao Wei,Zhou Kaile,Yang Shanlin

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

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

Reference52 articles.

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5. An improved deep belief network based hybrid forecasting method for wind power;Hu;Energy,2021

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