2022
DOI: 10.2478/oszn-2022-0010
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Energy Transformation: Challenges and Opportunities — The Polish Case

Abstract: The article, meant as the first in a series, tries to answer some questions around the future desired shape of the new Polish electro-energy mix in relation to the one described in the national energy policy document PEP 2040 (Energy Policy of Poland till 2040) and as compared with the targets set up in the newest UE legislative package, ‘Fit-for-55’. In this article, I first present the rich overview of literature as well as economic theory behind the analysis of the energy transformation and energy-mix decar… Show more

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Cited by 5 publications
(4 citation statements)
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“…A neural energy and water consumption model was used to describe the process. The use of neural networks is justified in such cases, as evidenced by similar studies [24,25]. The neural model was used to formulate the optimization task and then search for the optimal solution using genetic algorithms.…”
Section: Introductionmentioning
confidence: 98%
“…A neural energy and water consumption model was used to describe the process. The use of neural networks is justified in such cases, as evidenced by similar studies [24,25]. The neural model was used to formulate the optimization task and then search for the optimal solution using genetic algorithms.…”
Section: Introductionmentioning
confidence: 98%
“…Poland, with a strong dependence on coal, is betting on a gradual transformation, while Germany is pushing an aggressive decarbonization policy. This analysis is not only an attempt to understand current political decisions, but is also an attempt to answer the question of how these long-term strategies will affect the energy future of Central Europe [1][2][3][4][5].…”
Section: Introductionmentioning
confidence: 99%
“…A comprehensive world and UE literature review on the subject of energy-mix transformation has already been presented in my first article of the series [Mitroczuk 2023].…”
Section: Introduction and Literature Reviewmentioning
confidence: 99%