Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Tetiana, Kurbatova"'
Publikováno v:
International Journal of Energy Economics and Policy, Vol 14, Iss 6 (2024)
Energy storage technologies are one of the ways to decrease the intermittency of renewable energy such as sun or wind. The article aims to consider the organizational and economic mechanisms of promoting residential battery energy storage systems (R-
Externí odkaz:
https://doaj.org/article/cfb65ebb94b340d9b9083f9a555eaf54
Autor:
Tetiana Kurbatova, Iryna Sotnyk, Tetiana Perederii, Olha Prokopenko, Bogdan Wit, Uliana Pysmenna, Oleksandra Kubatko
Publikováno v:
Energies, Vol 17, Iss 20, p 5214 (2024)
On-grid hybrid wind–solar systems are one of the best sustainable solutions for developing distributed generation, as they can provide a stable and reliable electricity supply, effectively using the potential of the two most common renewable energy
Externí odkaz:
https://doaj.org/article/b5e59a886e184587bedf0afab75e9c0d
Publikováno v:
International Journal of Sustainable Energy Planning and Management, Vol 40 (2024)
The paper deals with the problems of maintaining Ukraine’s grid reliability under high renewable electricity penetration and improving state policy measures to accelerate sustainable energy transition in the post-war period. Promoting renewable ene
Externí odkaz:
https://doaj.org/article/db524534cae44687b67f2ba91bca404e
Publikováno v:
Problems and Perspectives in Management, Vol 21, Iss 3, Pp 511-527 (2023)
The recent surge in publications addressing household energy efficiency and renewable energy highlights their vital roles in managing national decarbonization and green power transition. The study aims to analyze the research trends in this field to
Externí odkaz:
https://doaj.org/article/d8853452a70b4fd4a374b600eb832be9
Publikováno v:
Environmental Economics, Vol 14, Iss 2, Pp 13-27 (2023)
Households are responsible for more than one-third of global energy consumption and exert a significant environmental impact. Therefore, energy efficiency and renewable energy issues have been a top theme in the literature, with numerous studies exam
Externí odkaz:
https://doaj.org/article/bab6192d96c54fa2945aa6d69fb1c02a
Publikováno v:
International Journal of Sustainable Energy, Vol 41, Iss 11, Pp 1623-1649 (2022)
The paper investigates state policy to promote solar energy in Latvia’s and Ukraine’s households. Comparing different approaches to stimulating sectors’ development in both countries, the article evaluates the economic efficiency of solar power
Externí odkaz:
https://doaj.org/article/3c27b01831b14d34ac1ff820fa24f0f1
Autor:
Tetiana Kurbatova, Iryna Sotnyk, Galyna Trypolska, Laima Gerlitz, Tetiana Skibina, Olha Prokopenko, Oleksandra Kubatko
Publikováno v:
International Journal of Energy Economics and Policy, Vol 13, Iss 5 (2023)
The paper investigates trends in bioenergy development in Ukraine and its role in accelerating the green energy transition in the post-war period. The focus of the article is on the use of bioenergy resources for electricity generation, heat energy a
Externí odkaz:
https://doaj.org/article/3def1058e8bd4d6095425c62d14db662
Autor:
Yauhen Statsenko, Tetiana Habuza, Tatsiana Talako, Tetiana Kurbatova, Gillian Lylian Simiyu, Darya Smetanina, Juana Sido, Dana Sharif Qandil, Sarah Meribout, Juri G. Gelovani, Klaus Neidl-Van Gorkom, Taleb M. Almansoori, Fatmah Al Zahmi, Tom Loney, Anthony Bedson, Nerissa Naidoo, Alireza Dehdashtian, Milos Ljubisavljevic, Jamal Al Koteesh, Karuna M. Das
Publikováno v:
IEEE Access, Vol 10, Pp 120901-120921 (2022)
Background: Radiomical data are redundant but they might serve as a tool for lung quantitative assessment reflecting disease severity and actual physiological status of COVID-19 patients. Objective: Test the effectiveness of machine learning in elimi
Externí odkaz:
https://doaj.org/article/bcc92725771f46f083dd0cf3d6c43a44
Publikováno v:
Energies, Vol 16, Iss 19, p 6773 (2023)
This paper deals with improving the feed-in tariff policy for green energy advancement in Ukraine’s households based on assessing the economic efficiency of investment project implementation under the current state support mechanisms. This study wa
Externí odkaz:
https://doaj.org/article/d4e8ee8f9d364107b4ff780ee63746ba
Autor:
Yauhen Statsenko, Vladimir Babushkin, Tatsiana Talako, Tetiana Kurbatova, Darya Smetanina, Gillian Lylian Simiyu, Tetiana Habuza, Fatima Ismail, Taleb M. Almansoori, Klaus N.-V. Gorkom, Miklós Szólics, Ali Hassan, Milos Ljubisavljevic
Publikováno v:
Biomedicines, Vol 11, Iss 9, p 2370 (2023)
Deep learning (DL) is emerging as a successful technique for automatic detection and differentiation of spontaneous seizures that may otherwise be missed or misclassified. Herein, we propose a system architecture based on top-performing DL models for
Externí odkaz:
https://doaj.org/article/3d12260639764b8a8d851f0d1f184798