Towards Precision: A Comparative Analysis of Crude Oil Price Forecasting Approaches
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65392-6_13
Reference24 articles.
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2. Zhang, H.L., Liu, C.X., Zhao, M.Z., et al.: Economics, fundamentals, technology, finance, speculation and geopolitics of crude oil prices: an econometric analysis and forecast based on data from 1990 to 2017. Pet. Sci. 15, 432–450 (2018)
3. Demir, S., Mincev, K., Kok, K., Paterakis, N.G.: Introducing technical indicators to electricity price forecasting: a feature engineering study for linear, ensemble, and deep machine learning models. Appl. Sci. 10, 255 (2020)
4. Zhao, Y., Li, J., Yu, L.: A deep learning ensemble approach for crude oil price forecasting. Energy Econ. 66, 9–16 (2017)
5. Guo, L., Huang, X., Li, Y., Li, H.: Forecasting crude oil futures price using machine learning methods: Evid. China Energy Econ. 127 (2023)
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