Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ruslan Omirgaliyev"'
Publikováno v:
Scientific Journal of Astana IT University, Vol 16, Iss 16 (2023)
The critical transformation of the energy sector demands innovative approaches to ensure the reliability and efficiency of energy systems. In this pursuit, this study delved into the potential of Deep Recurrent Neural Networks (DRNNs) for forecasting
Externí odkaz:
https://doaj.org/article/41372234b44f4a5e8184d3c715a2c66e
Publikováno v:
Data in Brief, Vol 44, Iss , Pp 108547- (2022)
This data article provides information on input data to represent the operational processes of two combined heat and power plants (CHPP) in Kazakhstan. The presented data in this article are related to the research article “Efficient planning of en
Externí odkaz:
https://doaj.org/article/444ad76652a84fc781db12e671fe755f
Publikováno v:
International Journal of Sustainable Development and Planning. 17:1247-1257
The environmental situation in the capital city is always in the focus of attention of the municipal authorities of the city and is one of the most important factors influencing the decisions. The capital of Kazakhstan, Nur-Sultan, consumes heat ener
Publikováno v:
2021 IEEE International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo).
Autor:
Ruslan Omirgaliyev, Samat Kassymkhanov
Publikováno v:
2021 IEEE International Conference on Smart Information Systems and Technologies (SIST).
The environmental situation in Kazakhstan is deteriorating every year, and the transfer of green technologies at the business level remains a weak link in the national innovation system. Therefore, a special approach to the economic structure of mode