conference paper · AIP conference proceedings · 2022
Mathematical modeling and forecasting of electricity production in enterprises of the energy system of Uzbekistan
Rabim Alikulovich Fayziev, Feruz Kurbonov
Cited by 8Abstract and details only
Abstract
The article analyzes the state of electricity generation in enterprises of the energy system in 2005-2020 and develops proposals to improve electricity supply. Recommendations on the use of renewable energy sources have been developed for existing electricity generating companies. The mathematical model of this process was analyzed and on the basis of the target to be achieved in 2030, the country’s electricity supply by 2030 was determined.
Cite this paper
Fayziev, R. A., & Kurbonov, F. (2022). Mathematical modeling and forecasting of electricity production in enterprises of the energy system of Uzbekistan. AIP conference proceedings, 2656, 020015. https://doi.org/10.1063/5.0106330
Fayziev, Rabim Alikulovich, and Feruz Kurbonov. “Mathematical modeling and forecasting of electricity production in enterprises of the energy system of Uzbekistan.” AIP conference proceedings, vol. 2656, 2022, p. 020015, https://doi.org/10.1063/5.0106330.
Fayziev, Rabim Alikulovich, and Feruz Kurbonov. 2022. “Mathematical modeling and forecasting of electricity production in enterprises of the energy system of Uzbekistan.” AIP conference proceedings 2656: 020015. https://doi.org/10.1063/5.0106330.
Fayziev, R.A. and Kurbonov, F. (2022) ‘Mathematical modeling and forecasting of electricity production in enterprises of the energy system of Uzbekistan’, AIP conference proceedings, 2656, p. 020015. Available at: https://doi.org/10.1063/5.0106330.
@article{fayziev2022mathematical,
title = {{Mathematical modeling and forecasting of electricity production in enterprises of the energy system of Uzbekistan}},
author = {Fayziev, Rabim Alikulovich and Kurbonov, Feruz},
journal = {AIP conference proceedings},
volume = {2656},
pages = {020015},
year = {2022},
doi = {10.1063/5.0106330}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.