Considering dynamic perception of fluctuation trend for long-foresight-term wind power prediction

Author:

Yang Mao,Wang TianchengORCID,Zhang Xiaobin,Zhang Wei,Wang Bo

Funder

Ministry of Science and Technology of the People's Republic of China

State Grid Corporation of China

National Key Research and Development Program of China

Science and Technology Project of State Grid

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference36 articles.

1. Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting;Yang;Renew Energy,2023

2. Investigating black-box model for wind power forecasting using local interpretable model-agnostic explanations algorithm: why should a model be trusted?;Yang;CSEE Journal of Power and Energy Systems,2023

3. Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks;Liu;Appl Energy,2013

4. Study on the physical approach to wind power prediction;Feng;Proceedings of the CSEE,2010

5. Very short-term spatial and temporal wind power forecasting: a deep learning approach;Hu;CSEE Journal of Power and Energy Systems,2020

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