Ali, K., Rana, Z., Niaz, A., & Liang, C. (2023). Fault tree analysis for reliability analysis of wind turbines considering the imperfect repair effect. European Journal of Theoretical and Applied Sciences.

Allaev, K. R. (2020). Energy of Uzbekistan and the world. Tashkent.

Allaev, K. R. (2021). Sovremennaya energetika i perspektivy ee razvitiya [Modern energy and prospects for its development]. Tashkent: Fan va texnologiyalar.

Bobojanov, M. K., & Mustaev, R. A. (2024, April 25–26). Kombinatsiyalashgan elektr ta’minot tizimlari uchun kontaktsiz qurilmalarni yaratish va tadqiq qilish [Development and research of contactless devices for combined power supply systems]. In Proceedings of the International Conference “Energetika kompleksining dolzarb muammolari: ishlab chiqarish, uzatish va ekologiya” [Actual Problems of the Energy Complex: Production, Transmission, and Ecology] (pp. 197–204). Karshi.

Bobojanov, M. K., & Mustaev, R. A. (2024, May 21–22). Qayta tiklanuvchi energiya manbalari integratsiyalangan tarmoqlarda reaktiv quvvatni kompensatsiyalash [Reactive power compensation in renewable energy integrated networks]. In Proceedings of the International Conference “Elektromexanik va elektrotekhnologik tizimlarni raqamlashtirishning dolzarb muammolari” [Actual Problems of Digitalization of Electromechanical and Electrotechnological Systems] (pp. 19–24). Tashkent.

Hutomo, G. P. D., Prasetya, H. E. G., & Arini, N. (2023). Reliability analysis of horizontal axis wind turbine using qualitative and quantitative methods. In 2023 International Electronics Symposium (IES) (pp. 144–149). IEEE. https://doi.org/10.1109/IES59143.2023.10242424

International Electrotechnical Commission (IEC). (2006). IEC 61025: Fault tree analysis (FTA). https://webstore.iec.ch/publication/61025

International Electrotechnical Commission (IEC). (2013). IEC 62264-1: Enterprise-control system integration – Part 1: Models and terminology. https://webstore.iec.ch/publication/62264-1

International Organization for Standardization (ISO). (2021a). ISO/IEC 22989: Information technology – Artificial intelligence – Artificial intelligence concepts and terminology. https://www.iso. org/standard/81118.html

International Organization for Standardization (ISO). (2021b). ISO 23247-1: Automation systems and integration – Digital twin framework for manufacturing – Part 1: Overview and general principles. https://www.iso.org/standard/75066.html

Layate, Z., Bahi, T., Abadlia, I., Bouzeria, H., & Lekhchine, S. (2015). Reactive power compensation control for three-phase grid-connected photovoltaic generator. International Journal of Hydrogen Energy, 40(37), 12619–12626.

Mammadov, E., Farrokhabadi, M., & Cañizares, C. (2021). AI-enabled predictive maintenance of wind generators. In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (pp. 1–5). IEEE.

Nasyrov, T. Kh., Nepomnyashchiy, V. A., & Shamsiev, Kh. A. (2020). Vliyanie vetrovykh i solnechnykh elektrostantsiy na upravlyaemost i nadezhnost funktsionirovaniya energosistem [In�luence of wind and solar power plants on controllability and reliability of power systems]. Problemy energo- i resursosberezheniya [Problems of Energy and Resource Saving], (3–4), 25–37

Oprea, S., Bâra, A., Preotescu, D., & Elefterescu, L. (2019). Photovoltaic power plants (PV-PP) reliability indicators for improving operation and maintenance activities: A case study of PV-PP Agigea located in Romania. IEEE Access, 7, 39142–39157. https://doi.org/10.1109/ACCESS.2019.2907098

Sadnan, R., & Khan, M. Z. R. (2016). Fast real and reactive power flow control of grid-tie photovoltaic inverter. In 9th IEEE International Conference on Electrical and Computer Engineering (ICECE) (pp. 570–573). Dhaka, Bangladesh.

Saloydinov, S. (2024). Improvement and management of hybrid power plants with wind energy. Research Focus, 3(5), 38–45.

Saloydinov, S., Zakhidov, R., Umarov, S., & Joshi, L. (2024). Opportunities to increase the energy efficiency of reservoirs and hydroelectric power plants using wind energy technologies. In E3S Web of Conferences (Vol. 574, p. 01003). EDP Sciences.

Yang, W., Bao, X., & Zheng, Y. (2022). Digital twin approach to build predictive maintenance model and its case study. In 42nd Computers and Information in Engineering Conference (CIE), Vol. 2. ASME.

Zakhidov, R., & Saloydinov, S. (2024). Development of opportunities to improve the energy efficiency of hydropower plants using wind energy technologies. Uzbekhydroenergetics: Scientific and Technical Journal, 6(2), 79–84.