Short-term forecasting electricity load by long short-term memory and reinforcement learning for optimization of hyper-parameters
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s12065-023-00869-5.pdf
Reference18 articles.
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2. Anderson EJ, Hu X, Winchester D (2007) Forward contracts in electricity markets: The Australian experience. Energy Policy 35(5):3089–3103. https://doi.org/10.1016/j.enpol.2006.11.010
3. Memarzadeh G, Keynia F (2021) Short-term electricity load and price forecasting by a new optimal LSTM-NN based prediction algorithm. Electric Power Syst Res 192:106995. https://doi.org/10.1016/j.epsr.2020.106995
4. Al-Shaikh H, Zubair A (2019) Electric load forecasting with hourly precision using long short-term memory networks. https://doi.org/10.1109/ECACE.2019.8679244
5. Eljazzar M, Hemayed E (2017) Enhancing electric load forecasting of ARIMA and ANN using adaptive Fourier series, pp 1–6. https://doi.org/10.1109/CCWC.2017.7868457
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