Short-Term Load Forecasting for an Industrial Park Using LSTM-RNN Considering Energy Storage
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9402928/9402948/09403118.pdf?arnumber=9403118
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. CNN-GRU model based on attention mechanism for large-scale energy storage optimization in smart grid;Frontiers in Energy Research;2023-07-26
2. The CTCN-LightGBM Joint Model for Industrial Balanced Loading Prediction;International Journal of Computational Intelligence Systems;2023-01-04
3. Short-term microgrid load probability density forecasting method based on k-means-deep learning quantile regression;Energy Reports;2022-08
4. Load Forecasting of Electric Power Distribution System using Different Techniques: A Review;2022 IEEE Students Conference on Engineering and Systems (SCES);2022-07-01
5. Pork Price Prediction Using Bi-RNN-LSTM Artificial Neural Network;2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD);2022-05-27
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