Oil Price Predictors: Machine Learning Approach

Citations

Cited by:

1. Pavel Baboshkin, 2020. "Strategic Energy Partnership between Russia and China," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 158-163.
2. Ramesh Bollapragada & Akash Mankude & V. Udayabhanu, 2021. "Forecasting the price of crude oil," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(2), pages 207-231, June.
3. Schultz, Michael & Rosenow, Judith & Olive, Xavier, 2022. "Data-driven airport management enabled by operational milestones derived from ADS-B messages," Journal of Air Transport Management, Elsevier, vol. 99(C).
4. Xenia Tabachkova & Sergey Prosekov & Natalia Sokolinskaya, 2020. "Energy System Structure in Russian Arctic: Coal Production Forecast," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 476-481.
5. Minxing Si & Ling Bai & Ke Du, 2021. "Discovering Energy Consumption Patterns with Unsupervised Machine Learning for Canadian In Situ Oil Sands Operations," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
6. Nikol Tryndina & Nikita Moiseev & Evgeniy Lopatin & Sergey Prosekov & Jiang Kejun, 2020. "Trends in Corporate Energy Strategy of Russian Companies," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 202-207.
7. Thomas Burkhardt & Diana Stepanova & Leonid Ratkin & Ismail Ismailov & Oleg Lavrushin & Natalia Sokolinskaya & Mir Sayed Shah Danish & Tomonobu Senjyu & Serhat Yuksel & Hasan Dincer, 2021. "Introduction of Biofuels as a Way of Solving Ecological Problems," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 187-193.
8. Leal Filho, Walter & Wall, Tony & Rui Mucova, Serafino Afonso & Nagy, Gustavo J. & Balogun, Abdul-Lateef & Luetz, Johannes M. & Ng, Artie W. & Kovaleva, Marina & Safiul Azam, Fardous Mohammad & Alves,, 2022. "Deploying artificial intelligence for climate change adaptation," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
9. Tarkocin, Coskun & Donduran, Murat, 2024. "Constructing early warning indicators for banks using machine learning models," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
10. Artur Meynkhard, 2020. "Long-Term Prospects for the Development Energy Complex of Russia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 224-232.
11. Martin Johnsen & Oliver Brandt & Sergio Garrido & Francisco C. Pereira, 2020. "Population synthesis for urban resident modeling using deep generative models," Papers 2011.06851, arXiv.org.
12. Bartosz Lamasz & Natalia Iwaszczuk, 2020. "Crude Oil Option Market Parameters and Their Impact on the Cost of Hedging by Long Strap Strategy," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 471-480.
13. Uyeh Daniel Dooyum & Alexey Mikhaylov & Igor Varyash, 2020. "Energy Security Concept in Russia and South Korea," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 102-107.
14. Pavel Baboshkin & Mafura Uandykova, 2021. "Multi-source Model of Heterogeneous Data Analysis for Oil Price Forecasting," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 384-391.
15. Razmi, Seyedeh Fatemeh & Razmi, Seyed Mohammad Javad, 2023. "The role of stock markets in the US, Europe, and China on oil prices before and after the COVID-19 announcement," Resources Policy, Elsevier, vol. 81(C).
16. Xenia Tabachkova, 2021. "Consequences of Oil Supply and Demand on the Electricity Market: Coronavirus Effect," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 573-580.
17. Radosław Puka & Bartosz Łamasz, 2020. "Using Artificial Neural Networks to Find Buy Signals for WTI Crude Oil Call Options," Energies, MDPI, vol. 13(17), pages 1-20, August.
18. Jihad El Hokayem & Joseph Gemayel & Dany Mezher, 2022. "Forecasting Oil Prices: A Comparative Study," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(7), pages 1-55, July.
19. Ivan Udalov, 2021. "The Transition to Renewable Energy Sources as a Threat to Resource Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 460-467.
20. Mikhail Bondarev, 2020. "Energy Consumption of Bitcoin Mining," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 525-529.
21. Paul Schwarzbach & Julia Engelbrecht & Albrecht Michler & Michael Schultz & Oliver Michler, 2020. "Evaluation of Technology-Supported Distance Measuring to Ensure Safe Aircraft Boarding during COVID-19 Pandemic," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
22. Krzysztof Drachal, 2022. "Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression," Energies, MDPI, vol. 16(1), pages 1-29, December.
23. Evgeniy Lopatin, 2020. "Cost of Heating Pump Systems in Russia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 219-223.
24. Anton Lisin & Tomonobu Senjyu, 2021. "Renewable Energy Transition: Evidence from Spillover Effects in Exchange-Traded Funds," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 184-190.
25. Jaehyung An & Mikhail Dorofeev & Shouxian Zhu, 2020. "Development of Energy Cooperation between Russia and China," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 134-139.
26. Fe Amor Parel Gudmundsson & Sergey Prosekov & Natalia Sokolinskaya & Sergey Tarakanov & Evgeniy Lopatin, 2020. "Factors of the Formation of Modern Energetic Reality in North Western Europe," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 539-544.