A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-021-04492-4.pdf
Reference41 articles.
1. Ali, A. (2020). Ensemble learning model for prediction of natural gas spot price based on least squares boosting algorithm. IEEE International Conference on Data Analytics for Business and Industry: Way towards a Sustainable Economy (ICDABI), 2020, 1–6. https://doi.org/10.1109/ICDABI51230.2020.9325615
2. Ameur, H. B., Ftiti, Z., Jawadi, F., & Louhichi, W. (2020). Measuring extreme risk dependence between the oil and gas markets. Annals of Operations Research. https://doi.org/10.1007/s10479-020-03796-1
3. Avraam, C., Bistline, J. E. T., Brown, M., Vaillancourt, K., & Siddiqui, S. (2021). North American natural gas market and infrastructure developments under different mechanisms of renewable policy coordination. Energy Policy, 148, 111855.
4. Breiman, L. (2001). Random forests. Machine Learning, 45, 5–32.
5. Cihan, P. (2022). Impact of the COVID-19 lockdowns on electricity and natural gas consumption in the different industrial zones and forecasting consumption amounts: Turkey case study. International Journal of Electrical Power & Energy Systems, 134, 107369.
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