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Solar Energy Production in Azerbaijan: Forecast Analysis Using ARIMA Model. (2024). Hasanov, Ramil.
In: Journal of Sustainable Development Issues (JOSDI).
RePEc:arv:journl:v:2:y:2024:i:1:p:11-20.

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  1. 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.
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  2. 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.
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  3. 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.
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  4. 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.
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  5. 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.

  6. Hasanov, R. I. (2023b). Promoting sustainability in Azerbaijan's energy sector: A green policy evaluation and future outlook. Green Economics, 1(1), 62-69.
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  7. 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.

  8. 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.
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  9. Mammadov, T. (2023). Azerbaijan natural gas production 2022-2024 forecast by ARIMA (0, 1, 2) method. change, 2020, 2050.
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  10. 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.
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