| Title |
Facilitating circularity in city governance in the Republic of Serbia: a novel approach to modeling of energy efficiency big data mining |
| ID_Doc |
6508 |
| Authors |
Radovanovic, M; Filipovic, S; Simic, G |
| Title |
Facilitating circularity in city governance in the Republic of Serbia: a novel approach to modeling of energy efficiency big data mining |
| Year |
2024 |
| Published |
Energy Efficiency, 17, 6 |
| DOI |
10.1007/s12053-024-10243-8 |
| Abstract |
Efficient use of energy and other resources, as the basic postulates of the circular economy, is a prerequisite for the green transition to more sustainable cities in the future. The main scientific goal of the paper is the development of a new approach to city governance when it comes to the inefficient use of energy, predominantly fossil fuels, mainly in developing and poor countries. Energy efficiency problems faced by these countries require the introduction of urgent, applicable, and realistically achievable solutions. A prerequisite for adequate analysis and modeling of energy efficiency performance, measures, policies, outcomes, and impacts is the introduction and functioning of the big data management system, which should begin with data mining. On the other hand, adequate data collection has been neglected in many of these countries. The study shows a way to reduce this gap, but in accordance with realistic and limited possibilities for countries with less favorable conditions. In that respect, a conceptual model for the Analytical Service for facilitating energy efficiency in city governance was developed and presented as a driver that can enable cities to manage energy more efficiently. The model is based on an interdisciplinary approach and on the needs of cities in the Republic of Serbia. However, it is designed to allow upgrading in accordance with the capabilities and resources of cities, primarily applicable in developing and poor countries. |
| Author Keywords |
Energy efficiency; City governance; Conceptual model; Data mining; Republic of Serbia |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:001267739800001 |
| WoS Category |
Green & Sustainable Science & Technology; Energy & Fuels; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Energy & Fuels; Environmental Sciences & Ecology |
| PDF |
https://doi.org/10.1007/s12053-024-10243-8
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