Short-Term Load Forecasting Based on SARIMAX-LSTM

Author:

Sheng Feng,Jia Li

Publisher

IEEE

Cited by 19 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. A prior-knowledge-based time series model for heat demand prediction of district heating systems;Applied Thermal Engineering;2024-09

2. Day-Ahead Hourly Solar Photovoltaic Output Forecasting Using SARIMAX, Long Short-Term Memory, and Extreme Gradient Boosting: Case of the Philippines;Energies;2023-11-28

3. Assessing the Contribution of Energy Production and Consumption to CO2 Emissions in the Philippines: Understanding and Mitigating Environmental Impacts;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19

4. Prediction of Household Energy Usage via Multi-Head Attention;2023 IEEE MetroCon;2023-11-02

5. Solar Photovoltaic Generation Forecasting using LSTM and SARIMAX model;2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA);2023-09-29

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