Szczegóły publikacji
Opis bibliograficzny
Data mining for adaptive monitoring of energy transition / Beata BASIURA, Iwona SKALNA, Tomasz PEŁECH-PILICHOWSKI // W: Proceedings of the 44th International Business Information Management Association Conference (IBIMA) [Dokument elektroniczny] : empower business and create economic development in digital future: vision 2030 : 27-28 November 2024, Granada, Spain / ed. Khalid S. Soliman. — Wersja do Windows. — Dane tekstowe. — [S. l.] : International Business Information Management Association (IBIMA), cop. 2024. — (Proceedings of the... International Business Information Management Association Conference ; ISSN 2767-9640). — e-ISBN: 979-8-9867719-4-6. — S. 389–402. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://u.pcloud.link/publink/show?code=cLzrtalK#folder=24197... [2024-11-15]. — Bibliogr. s. 401–402, Abstr.
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 156655 |
|---|---|
| Data dodania do BaDAP | 2024-11-21 |
| Rok publikacji | 2024 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | International Business Information Management 2024 |
| Czasopismo/seria | Proceedings of the... International Business Information Management Association Conference |
Abstract
Climate change is a global problem that threatens human health and the environment. Adaptive monitoring of the energy transition refers to the process of tracking and analyzing changes in the energy sector and adjusting strategies and actions in response to these changes. This study leverages data from the International Renewable Energy Agency (IRENA), a global organization that supports countries in advancing their transition toward sustainable energy systems. Using advanced data mining methods, this study examines energy transition patterns across countries, identifying key contributors to greenhouse gas emissions and revealing trends in both renewable and non-renewable energy usage. The findings highlight that countries such as China and Russia remain significant contributors to global greenhouse gas emissions, although in Russia the trend of using non-renewable sources is downward, while in China the use of non-renewable fuels is constantly growing. This research contributes to the understanding of global energy transitions and offers a framework for adaptive monitoring that could support policymakers in making informed, responsive decisions toward reducing global carbon emissions.
