Energy Load Forecasting: Investigating Mid-Term Predictions with Ensemble Learners
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-031-08333-4_28
Reference65 articles.
1. Bianchi, F.M., De Santis, E., Rizzi, A., Sadeghian, A.: Short-term electric load forecasting using echo state networks and PCA decomposition. IEEE Access. 3, 1931–1943 (2015). https://doi.org/10.1109/ACCESS.2015.2485943
2. Zhang, J.: Research on power load forecasting based on the improved Elman neural network. Chem. Eng. Trans. 51, 589–594 (2016). https://doi.org/10.3303/CET1651099
3. Filatova, E.S., Filatov, D.M., Stotckaia, A.D., Dubrovskiy, G.: Time series dynamics representation model of power consumption in electric load forecasting system. In: Proceedings of the 2015 North West Russia Section Young Researchers in Electrical and Electronic Engineering Conference ElConRusNW 2015, pp. 175–179 (2015). https://doi.org/10.1109/EIConRusNW.2015.7102256
4. Khamaira, M.Y., Krzma, A.S., Alnass, A.M.: Long term peak load forecasting for the Libyan Network. In: First Conference for Engineering Sciences and Technology (CEST-2018), pp. 185–193 (2018). https://doi.org/10.21467/proceedings.2.23
5. Saber, A.Y., Alam, A.K.M.R.: Short term load forecasting using multiple linear regression for big data. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Janua, pp. 1–6 (2018). https://doi.org/10.1109/SSCI.2017.8285261
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