Applying the ensemble artificial neural network-based hybrid data-driven model to daily total load forecasting

Author:

Dong Jia-rui,Zheng Chui-yong,Kan Guang-yuan,Zhao Min,Wen Jie,Yu Jing

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Daily Peak-Valley Electric-Load Forecasting Based on an SSA-LSTM-RF Algorithm;Energies;2023-12-08

2. Electrical Load Forecasting Based on Random Forest, XGBoost, and Linear Regression Algorithms;2023 International Conference on Information Technology (ICIT);2023-08-09

3. A Data-Driven Short-Term PV Generation and Load Forecasting Approach for Microgrid Applications;IEEE Journal of Emerging and Selected Topics in Industrial Electronics;2022-10

4. Distribution Network Load Forecasting Model Based on Big Data;2021 International Conference on Applications and Techniques in Cyber Intelligence;2021

5. Load forecasting based on deep neural network and historical data augmentation;IET Generation, Transmission & Distribution;2020-09-18

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