Highly fluctuating short-term load forecasting based on improved secondary decomposition and optimized VMD

Author:

Wen Yan,Pan Su,Li Xinxin,Li Zibo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference42 articles.

1. A methodology for electric power load forecasting;Almeshaiei;Alex. Eng. J.,2011

2. Neural networks for short-term load forecasting: a review and evaluation;Hippert;IEEE Trans. Power Syst.,2001

3. A new secondary decomposition ensemble learning approach for carbon price forecasting;Li;Knowl. -Based Syst.,2021

4. A new prediction model for power consumption with local weather information;Tak;J. Korea Contents Assoc.,2016

5. Power Consumption Predicting and Anomaly Detection Based on Long Short-term Memory Neural Network;Wang,2019

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