Hybrid teaching—learning artificial neural network for city-level electrical load prediction

Author:

Li Kangji,Xie Xianming,Xue Wenping,Chen Xu

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Cited by 5 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. Personalized Edge-Cloud Collaborative High-Fall-risk Monitoring Strategy for Grid Workers at Heights;2023 IEEE Sustainable Power and Energy Conference (iSPEC);2023-11-28

2. Design of a prediction system based on the dynamical feed-forward neural network;Science China Information Sciences;2022-10-11

3. Boosting Black-Box Adversarial Attacks with Meta Learning;2022 41st Chinese Control Conference (CCC);2022-07-25

4. The Practice of MySql in Realizing the Background Data Management of the Hybrid Teaching Management System;Application of Intelligent Systems in Multi-modal Information Analytics;2022

5. Deep belief ensemble network based on MOEA/D for short-term load forecasting;Nonlinear Dynamics;2021-07-27

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