A novel hybrid model based on combined preprocessing method and advanced optimization algorithm for power load forecasting-Reference-Cited by-同舟云学术

A novel hybrid model based on combined preprocessing method and advanced optimization algorithm for power load forecasting

Published:2020-12 Issue: Volume:97 Page:106809
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Nie Ying,Jiang Ping,Zhang Haipeng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference78 articles.

1. Research and application of hybrid forecasting model based on an Optimal Feature Selection System—A case study on electrical load Forecasting;Dong;Energies,2017

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3. An ensemble approach for short-term load forecasting by extreme learning machine;Li;Appl. Energy,2016

4. Research and application of a hybrid forecasting model based on data decomposition for electrical load forecasting;Dong;Energies,2016

5. A hybrid forecasting approach applied in the electrical power system based on data preprocessing, optimization and artificial intelligence algorithms;Jiang;Appl. Math. Model.,2016

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