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2023 Vol.33, Issue 3 Preview Page

Research Article

30 September 2023. pp. 403-411
An, K.M., 2021, Developing a prediction model for firm innovation and performance using statistical matching and machine learning ensemble techniques, Doctoral Dissertation, Dongguk University, 98-105 (in Korean with English abstract).
Chen, T., Guestrin, C., 2016, XGBoost: A scalable tree boosting system, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 13-17 August 2016, San Francisco, CA, USA, 785-794. 10.1145/2939672.2939785
IEA (International Energy Agency), 2022, Tajikistan 2022: Energy sector review, 134p.
Joint Ministries, 2022, Tajikistan country partnership strategy.
Kudusov, M.A., Madvaliev, U., Elistratov, V.V., 2021, Evaluation of the efficiency of already existing network solar photovoltaic plants operating 24/7/365 in low-voltage power supply systems of social facilities in the city of Dushanbe, Applied Solar Energy, 57(4), 323-332. 10.3103/S0003701X21040071
Na, T., Noh, J., Kim, H., Kang, S.S., 2023, Analysis of climate, weather, solar radiation and solar energy in major cities of Tajikistan, The Journal of Engineering Geology, Submitted (in Korean with English abstract). 10.9720/kseg.2023.3.389
Pfenninger, S., Staffell, I., 2016, Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data, Energy, 114, 1251-1265. 10.1016/
8, 2023, Meteorological data for Tajikistan, Retrieved from
Yoon, H.R., 2020, A empirical study on the financial stability prediction model of South Korea's public enterprises with machine learning techniques, Doctoral Dissertation, Hansung University, 36-43 (in Korean with English abstract).
  • Publisher :Korean Society of Engineering Geology
  • Publisher(Ko) :대한지질공학회
  • Journal Title :The Journal of Engineering Geology
  • Journal Title(Ko) :지질공학
  • Volume : 33
  • No :3
  • Pages :403-411
  • Received Date : 2023-07-17
  • Revised Date : 2023-08-20
  • Accepted Date : 2023-08-31