Dastorani, M. T., Moghadamnia, A., Piri, J., & Rico-Ramirez, M. (2010). Application of ANN and ANFIS models for reconstructing missing �low data. Environmental Monitoring and Assessment, 166 (1), 421–434. https://doi.org/10.1007/s10661-009-1012-8

Eshbobaev, J., Norkobilov, A., Turakulov, Z., Khamidov, B., & Kodirov, O. (2023). Field trial of solar-powered ion-exchange resin for the industrial wastewater treatment process. Engineering Proceedings, 37 (1), Article 1. https://doi.org/10.3390/ECP2023-14626

Eshbobaev, J., Norkobilov, A., Usmanov, K., Khamidov, B., Kodirov, O., & Avezov, T. (2024). Control of wastewater treatment processes using a fuzzy logic approach. Engineering Proceedings, 67 (1), Article 1. https://doi.org/10.3390/engproc2024067039

Ghazi, Z. M., Rizvi, S. W. F., Shahid, W. M., Abdulhameed, A. M., Saleem, H., & Zaidi, S. J. (2022). An overview of water desalination systems integrated with renewable energy sources. Desalination, 542, 116063. https://doi.org/10.1016/j.desal.2022.116063

Guerra, M. I. S., De Araújo, F. M. U., De Carvalho Neto, J. T., & Vieira, R. G. (2024). Survey on adaptive neural fuzzy inference system (ANFIS) architecture applied to photovoltaic systems. Energy Systems, 15 (2), 505–541. https://doi.org/10.1007/s12667-022-00513-8

Ahmed, F. E., Hashaikeh, R., Diabat, A., & Hilal, N. (2019). Mathematical and optimization modelling in desalination: State-of-the-art and future direction. Desalination, 469, 114092. https://doi. org/10.1016/j.desal.2019.114092

Ahmed, F. E., Khalil, A., & Hilal, N. (2021). Emerging desalination technologies: Current status, challenges and future trends. Desalination, 517, 115183. https://doi.org/10.1016/j.desal.2021.115183

Aldair, A. A., Obed, A. A., & Halihal, A. F. (2018). Design and implementation of ANFIS-reference model controller based MPPT using FPGA for photovoltaic system. Renewable and Sustainable Energy Reviews, 82, 2202–2217. https://doi.org/10.1016/j.rser.2017.08.071

Almasoudi, S., & Jamoussi, B. (2024). Desalination technologies and their environmental impacts: A review. Sustainable Chemistry One World, 1, 100002. https://doi.org/10.1016/ j.scowo.2024.100002

Ayaz, M., Namazi, M. A., Din, M. A. U., Ershath, M. I. M., Mansour, A., & Aggoune, el-H. M. (2022). Sustainable seawater desalination: Current status, environmental implications and future expectations. Desalination, 540, 116022. https://doi.org/10.1016/j.desal.2022.116022

Bobat, A., Gezgin, T., & Aslan, H. (2015). The SCADA system applications in management of Yuvacik Dam and Reservoir. Desalination and Water Treatment, 54 (8), 2108–2119. https://doi.org/ 10.1080/19443994.2014.933615

Burn, S., Hoang, M., Zarzo, D., Olewniak, F., Campos, E., Bolto, B., & Barron, O. (2015). Desalination techniques – A review of the opportunities for desalination in agriculture. Desalination, 364, 2–16. https://doi.org/10.1016/j.desal.2015.01.041

Curto, D., Franzitta, V., & Guercio, A. (2021). A Review of the Water Desalination Technologies. Applied Sciences, 11 (2), 670. https://doi.org/10.3390/app11020670

Darre, N. C., & Toor, G. S. (2018). Desalination of water: A review. Current Pollution Reports, 4 (2), 104–111. https://doi.org/10.1007/s40726-018-0085-9

kun.uz. (2025, February 27). 2050 yilga borib O‘zbekistonda suv tanqisligi 15-25 foizga yetishi mumkin [By 2050, water scarcity in Uzbekistan may reach 15-25 percent]. (In Uzbek). Kun.uz. https:// kun.uz/news/2024/06/20/2050-yilga-borib-ozbekistonda-suv-tanqisligi-15-25-foizga-yetishi- mumkin

Ministry of Water Management of the Republic of Uzbekistan (2025, February 27). https://gov. uz/suvchi

Osman, F. A., Hashem, M. Y. M., & Eltokhy, M. A. R. (2022). Secured cloud SCADA system implementation for industrial applications. Multimedia Tools and Applications, 81 (7), 9989–10005. https://doi.org/10.1007/s11042-022-12130-9

‘O‘zsuvta’minot’ Joint-Stock Company. (2025, February 27). https://uzsuv.uz/ru/posts/844

Vijayakumar, G., Rajkumar, M., Chandar, N. R., Selvakumar, P., & Duraisamy, R. (2024). Environmentally friendly TDS removal from wastewater by electrochemical ion exchange batch-type recirculation (EIR) technique. Environmental Science: Water Research & Technology, 10 (4), 826–835. https://doi.org/10.1039/D3EW00793F

Win, K. T. Z., & Tun, H. M. (n.d.). Design and implementation of SCADA system based power distribution for primary substation.

Yusupbekov, N. R., & Avazov, Y. S. (2022). Method of intelligent control of the process of rectification of multicomponent mixtures. Technical Science and Innovation, (3), 148–154. https:// btstu.researchcommons.org/journal/vol2022/iss3/8/