- BP (2022). An agreement was reached between the Ministry of Energy and BP on the next steps regarding the solar power plant project in the southwestern region of Azerbaijan.
Paper not yet in RePEc: Add citation now
- Ediger, V. Ş., & Akar, S. (2007). ARIMA forecasting of primary energy demand by fuel in Turkey. Energy policy, 35(3), 1701-1708. https://doi.org/10.1016/j.enpol.2006.05.009 Erdogdu, E. (2007). Electricity demand analysis using cointegration and ARIMA modelling: A case study of Turkey.
Paper not yet in RePEc: Add citation now
- Energy policy, 35(2), 1129-1146. https://doi.org/10.1016/j.enpol.2006.02.013 Fattah, J., Ezzine, L., Aman, Z., El Moussami, H., & Lachhab, A. (2018). Forecasting of demand using ARIMA model.
Paper not yet in RePEc: Add citation now
- Energy Strategy Reviews, 47, 101079. https://doi.org/10.1016/j.esr.2023.101079 Hasanov, R. I. (2023a). Promoting sustainability in Azerbaijan's energy sector: A green policy evaluation and future outlook. Green Economics, 1(1), 62-69.
Paper not yet in RePEc: Add citation now
Gulaliyev, M. G., Mustafayev, E. R., & Mehdiyeva, G. Y. (2020). Assessment of solar energy potential and its ecologicaleconomic efficiency: Azerbaijan case. Sustainability, 12(3), 1116. https://doi.org/10.3390/su12031116 Hasanov, F. J., Mukhtarov, S., & Suleymanov, E. (2023). The role of renewable energy and total factor productivity in reducing CO2 emissions in Azerbaijan. Fresh insights from a new theoretical framework coupled with Autometrics.
- Hasanov, R. I. (2023b). Promoting sustainability in Azerbaijan's energy sector: A green policy evaluation and future outlook. Green Economics, 1(1), 62-69.
Paper not yet in RePEc: Add citation now
https://www.bp.com/az_az/azerbaijan/home/news/press-releases1/Azerbaycanin-cenub-qerb-bolgesinde-guneselektrik -stansiyasi-layihesi-ile-bagli-novbeti-addimlar.html Chodakowska, E., Nazarko, J., Nazarko, Ł., Rabayah, H. S., Abendeh, R. M., & Alawneh, R. (2023). Arima models in solar radiation forecasting in different geographic locations. Energies, 16(13), 5029. https://doi.org/10.3390/en16135029 Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit rootJournal of the American Statistical Association, 74(366a), 427–431.
- International Journal of Engineering Business Management, 10, 1847979018808673. https://doi.org/10.1177/1847979018808673 Ghosh, S. (2020). Forecasting of demand using ARIMA model. American Journal of Applied Mathematics and Computing, 1(2), 11-18.
Paper not yet in RePEc: Add citation now
- Mammadov, T. (2023). Azerbaijan natural gas production 2022-2024 forecast by ARIMA (0, 1, 2) method. change, 2020, 2050.
Paper not yet in RePEc: Add citation now
- Mukhtarov, S., Humbatova, S., Hajiyev, N. G. O., & Aliyev, S. (2020). The financial development-renewable energy consumption nexus in the case of Azerbaijan. Energies, 13(23), 6265. https://doi.org/10.3390/en13236265 Mustafayev, F., Kulawczuk, P., & Orobello, C. (2022). Renewable energy status in Azerbaijan: Solar and wind potentials for future development. Energies, 15(2), 401. https://doi.org/10.3390/en15020401 Pasari, S., & Shah, A. (2020, July). Time series auto-regressive integrated moving average model for renewable energy forecasting. In Enhancing Future Skills and Entrepreneurship: 3rd Indo-German Conference on Sustainability in Engineering (pp. 71-77). Cham: Springer International Publishing.
Paper not yet in RePEc: Add citation now