A prediction approach with mode decomposition-recombination technique for short-term load forecasting-Reference-Cited by-同舟云学术

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A prediction approach with mode decomposition-recombination technique for short-term load forecasting

Published:2022-10 Issue: Volume:85 Page:104034
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Yue Weimin,Liu Qingrong,Ruan Yingjun,Qian Fanyue,Meng Hua

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference51 articles.

1. Short-term renewable energy consumption and generation forecasting: A case study of Western Australia;Abu-Salih;Heliyon,2022

2. A review on applications of ANN and SVM for building electrical energy consumption forecasting;Ahmad;Renewable and Sustainable Energy Reviews,2014

3. A review on renewable energy and electricity requirement forecasting models for smart grid and buildings;Ahmad;Sustainable Cities and Society,2020

4. A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids;Aslam;Renewable and Sustainable Energy Reviews,2021

5. Long term and short term forecasting of horticultural produce based on the LSTM network model;Banerjee;Applied Intelligence,2022

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