PROSPECTS FOR THE USE OF ARTIFICIAL INTELLIGENCE TO IMPROVE ENERGY SAVING IN THE CONDITIONS OF UKRAINE

Andrii Pecheniuk, Vasyl Pecheniuk

Abstract


Pecheniuk A.V., Pecheniuk V.A.  PROSPECTS FOR THE USE OF ARTIFICIAL INTELLIGENCE TO IMPROVE ENERGY SAVING IN THE CONDITIONS OF UKRAINE

Purpose. The purpose of the article is to develop a set of measures to increase the efficiency of energy saving in Ukraine through the use of artificial intelligence technologies.

Methodology of research. In the process of preparing the publication, a number of general scientific and empirical methods of research were used, in particular: methods of scientific knowledge (when revealing the features of the application of artificial intelligence technologies in industry and everyday life), logical and dialectical (when assessing the trends in the development of modern computer technologies in the field of energy), generalization, analysis and synthesis (when studying the state of application of artificial intelligence tools in the energy sector of Ukraine), scientific abstraction (when developing proposals to increase the efficiency of energy saving in Ukraine through the use of artificial intelligence technologies).

Findings. The need to improve the efficiency of using modern computer technologies in the field of energy is substantiated. The prerequisites for the development of artificial intelligence in the field of energy saving are analyzed. The essence of promising areas of application of artificial intelligence in the energy industry, such as energy demand forecasting, optimization of energy consumption by enterprises and the population, use of “smart” networks, development of energy-efficient buildings, personal energy-saving solutions, is revealed. The main obstacles preventing the more active implementation of artificial intelligence technologies in the energy sphere of Ukraine are analysed. A number of proposals have been developed to increase the efficiency of energy saving in Ukraine through the use of artificial intelligence technologies.

Originality. The theoretical, methodological and practical principles of the application of artificial intelligence in the energy sector of Ukraine, which will serve to improve the level of energy saving at enterprises and households, are substantiated.

Practical value. The proposed set of measures for the use of artificial intelligence tools can be used to improve energy conservation in the modern conditions of Ukraine by government organizations for monitoring and analyzing energy consumption at the national level, developing energy conservation policies, as well as energy companies for optimizing energy production and distribution, forecasting electricity demand, detection and elimination of losses in networks, as well as to increase the efficiency of the use of renewable energy sources.

Key words: artificial intelligence, energy, energy saving, energy demand forecasting, energy consumption optimization, “smart” networks, energy-efficient buildings.

Keywords


artificial intelligence, energy, energy saving, energy demand forecasting, energy consumption optimization, “smart” networks, energy-efficient buildings.

Full Text:

PDF

References


EUR-Lex (2018), Artificial Intelligence for Europe, ЕС, Brussels, Belgium, available at: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=COM%3A2018%3A237%3AFIN (access date March 21, 2024).

OECD.org (2024), Recommendation of the Council on Artificial Intelligence. OECD/LEGAL/0449. Adopted on: 22/05/2019/OECD. Amended on: 03.05.2024, available at: https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449 (access date May 10, 2024).

Foks, S. (2024), “OpenAI is revolutionizing energy with artificial intelligence – impact, benefits and uses”, Mediacom, available at: https://mediacom.com.ua/openai-ta-vikoristannya-shtuchnogo-intelektu-v-energetichnij-sferi/ (access date April 11, 2024).

Dziubanovska, N.V. (2023), “Innovative approaches to the formation of the energy network of the future with the use of artificial intelligence”, Innovatsiina ekonomika, no. 1(93), pp. 158-163.

Amos Z. AI – is this the future of green energy? Unite.AI. URL: https://www.unite.ai/uk/is-ai-the-future-of-green-energy/ (access date April 04, 2024).

Kallot, K., Flint, B. and Chellen, E. “How artificial intelligence can accelerate the energy transition”, Enkorr, available at: https://enkorr.ua/uk/publications/yak_shtuchniy_ntelekt_mozhe_priskoriti _energetichniy_perehd/259397 (access date June 08, 2024).

Holizdra, O. (2024), “Building a Smart Grid is a way to increase the stability of Ukraine's energy system”, Ukrinform, available at: https://www.ukrinform.ua/rubric-economy/3863598-rozbudova-smart-grid-slah-do-pidvisenna-stijkosti-energosistemi-ukraini.html (access date May 18, 2024).

Basok, B.I., Bieliaieva, T.H. and Khybyna, M.A. (2021), “Global trends in the field of energy-efficient buildings”, Enerhetychnyi menedzhment: stan ta perspektyvy rozvytku – PEMS’21 : Zbirnyk materialiv Mizhnarodnoi naukovo-tekhnichnoi ta navchalno-metodychnoi konferentsii [Energy management: state and prospects of development – PEMS'21 : Collection of materials of the International scientific-technical and educational-methodological conference], (Kyiv, 9-11 March 2021), Kyiv, Ukraine, pp. 8-9, available at: http://pems.kpi.ua/proc/article/view/274538 (access date May 16, 2024).

Association “Energy-efficient cities of Ukraine” (2018), “Expert review of software for energy monitoring and energy management”, available at: https://enefcities.org.ua/upload/files/Publications/ Analytics/Expert_review_SW_2018.pdf (access date May 04, 2024).

Malmezon, R. “Capgemini and Schneider Electric will collaborate to help companies optimize energy consumption”, Schneider Electric, available at: https://www.se.com/ua/uk/about-us/newsroom/news/press-releases/capgemini-та-schneider-electric-співпрацюватимуть-щоб-допомогти-компаніям-оптимізувати-енергоспоживання-665833870cb5c66fdb0432c8 (access date June 03,2024).

Sukhodolia, O.M. (2022), Shtuchnyi intelekt v enerhetytsi: analit. dopovid [Artificial intelligence in energy: analyst. report], NISD, Kyiv, Ukraine, 49 p., available at: https://doi.org/10.53679/NISS-analytrep.2022.09 (access date April 22, 2024).


Refbacks

  • There are currently no refbacks.


Creative Commons License

 INNOVATIVE ECONOMY 2006 - 2025