Online SARIMA applied for short-term electricity load forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-05230-y.pdf
Reference48 articles.
1. Agarwal S, Saradhi VV, Karnick H (2008) Kernel-based online machine learning and support vector reduction. Neurocomputing 71(7):1230–1237. https://doi.org/10.1016/j.neucom.2007.11.023. http://www.sciencedirect.com/science/article/pii/S0925231208000581. Progress in Modeling, Theory, and Application of Computational Intelligenc
2. Aladag CH, Egrioglu E, Kadilar C (2009) Forecasting nonlinear time series with a hybrid methodology. Appl Math Lett 22(9):1467–1470. https://doi.org/10.1016/j.aml.2009.02.006. http://www.sciencedirect.com/science/article/pii/S0893965909001475
3. Anava O, Hazan E, Mannor S, Shamir O (2013) Online learning for time series prediction. JMLR: Workshop and Conference Proceedings pp 1–13. http://proceedings.mlr.press/v30/Anava13.pdf
4. Babu CN, Reddy BE (2014) A moving-average filter based hybrid arima-ann model for forecasting time series data. Appl Soft Comput 23:27–38. https://doi.org/10.1016/j.asoc.2014.05.028. http://www.sciencedirect.com/science/article/pii/S1568494614002555
5. Bouzerdoum M, Mellit A, Pavan AM (2013) A hybrid model (sarima-svm) for short-term power forecasting of a small-scale grid-connected photovoltaic plant. Sol Energy 98:226–235. https://doi.org/10.1016/j.solener.2013.10.002. http://www.sciencedirect.com/science/article/pii/S0038092X13004039
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