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Hourly electricity price forecast for short-and long-term, using deep neural networks

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[1] M. Castelli,A. Groznik,A. Popovič, Forecasting Electricity Prices: A Machine Learning Approach, Algorithms 13, 5 (2020) 1–16. ⇒20910.3390/a13050119 Search in Google Scholar

[2] H. Cheng,X. Ding,W. Zhou,R. Ding, A hybrid electricity price forecasting model with Bayesian optimization for German energy exchange, International Journal of Electrical Power & Energy Systems 110 (2019) 653-666. ⇒21910.1016/j.ijepes.2019.03.056 Search in Google Scholar

[3] P. Gabrielli,M.Wutrich,S. Blume,G. Sansavini, Data-driven modeling for long-term electricity price forecasting, Energy 244 (2022) 123107. ⇒20910.1016/j.energy.2022.123107 Search in Google Scholar

[4] R. Khalid,N. Javaid, F.A. Al-Zahrani,K. Aurangzeb,E.U. Qazi,T. Ashfaq, Electricity Load and Price Forecasting Using Jaya-Long Short Term Memory (JLSTM) in Smart Grids, Entropy (Basel) 22 (2019) 10. ⇒21910.3390/e22010010 Search in Google Scholar

[5] H. Lu,X. Ma,M. Ma,S. Zhu, Energy price prediction using data-driven models: A decade review, Computer Science Review 39 (2021) 100356. ⇒209, 21010.1016/j.cosrev.2020.100356 Search in Google Scholar

[6] T. Miseta,A. Fodor,Á. Vathy-Fogarassy, Energy trading strategy for storage-based renewable power plants, Energy 250 (2022) 123788. ⇒20910.1016/j.energy.2022.123788 Search in Google Scholar

[7] N.F. Rahim,M. Othman,R. Sokkalingam,E. Abdul Kadir, Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method, IEEE Access 6 (2018) 32216–32224. ⇒21910.1109/ACCESS.2018.2846809 Search in Google Scholar

[8]Á. Romero,J.R. Dorronsoro,J. Diáz, Day-Ahead Price Forecasting for the Spanish Electricity Market, Int. J. Interact Multimedia Artif. Intell. 5, 4 (2019) 42–50. ⇒21010.9781/ijimai.2018.04.008 Search in Google Scholar

[9] A.W. Siddiqui, Predicting Natural Gas Spot Prices Using Artificial Neural Network, 2nd International Conference on Computer Applications & Information Security (ICCAIS) (2019) 1–6. ⇒22010.1109/CAIS.2019.8769586 Search in Google Scholar

[10] D. Singhal, K.S. Swarup, Electricity price forecasting using artificial neural networks, International Journal of Electrical Power & Energy Systems 33, 3 (2011) 550–555. ⇒21910.1016/j.ijepes.2010.12.009 Search in Google Scholar

[11] M. Su,Z. Zhang,Y. Zhu,D. Zha, Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm, Energies 12 (2019) 1094. ⇒22010.3390/en12061094 Search in Google Scholar

[12] B. Uniejewski,R. Weron,F. Ziel, Variance Stabilizing Transformations for Electricity Spot Price Forecasting, IEEE Trans. Power Syst. 33, 2 (2017) 2219–2229. ⇒21010.1109/TPWRS.2017.2734563 Search in Google Scholar

[13] T. Windler,J. Busse,J. Rieck, One month-ahead electricity price forecasting in the context of production planning, J. Cleaner Production 238 (2019) 117910. ⇒21010.1016/j.jclepro.2019.117910 Search in Google Scholar

[14] M. Yahsi,E. Canakoglu,S. Agrali, Carbon price forecasting models based on big data analytics, Carbon Management 10 (2019) 1–13. ⇒22010.1080/17583004.2019.1568138 Search in Google Scholar

[15] X. Zhang, J. Wang, Y. Gao, A hybrid short-term electricity price forecasting framework: Cuckoo search-based feature selection with singular spectrum analysis and SVM, Energy Economics 81 (2019) 899–913. ⇒21010.1016/j.eneco.2019.05.026 Search in Google Scholar

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Sujets de la revue:
Computer Sciences, other