Real-time load forecasting for demand side management with only a few days of history available-Reference-Cited by-同舟云学术

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Real-time load forecasting for demand side management with only a few days of history available

Published:2013-05 Issue: Volume: Page:
ISSN:
Container-title:4th International Conference on Power Engineering, Energy and Electrical Drives
language:
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Author:

Neusser Lukas,Canha Luciane Neves

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6619586/6635569/06635732.pdf?arnumber=6635732

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. Enhancing Demand Response Forecasting Through Random Forest Regression: A Case Study Analysis;2024 6th International Conference on Energy, Power and Environment (ICEPE);2024-06-20

2. Demand side management in microgrid: A critical review of key issues and recent trends;Renewable and Sustainable Energy Reviews;2022-03

3. Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks;Forecasting;2022-01-24

4. Predictive Scheme for Optimal Energy Management;2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC);2021-11-10

5. Short-term load forecasting with discrete state Hidden Markov Models;Journal of Intelligent & Fuzzy Systems;2020-02-06

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