A Machine Learning Approach on the Relationship Among Solar and Wind Energy Production, Coal Consumption, GDP, and CO2 Emissions
Year of publication: |
[2021]
|
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Authors: | Magazzino, Cosimo ; Mele, Marco ; Schneider, Nicolas |
Publisher: |
[S.l.] : SSRN |
Subject: | Treibhausgas-Emissionen | Greenhouse gas emissions | Windenergie | Wind energy | Nationaleinkommen | National income | Kohle | Coal | Sonnenenergie | Solar energy | Luftverschmutzung | Air pollution | Energiekonsum | Energy consumption |
Description of contents: | Abstract [papers.ssrn.com] |
Extent: | 1 Online-Ressource |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | In: Renewable Energy, Volume 151, May 2020, Pages 829-836, DOI: 10.1016/j.renene.2020.11.050, ISSN: 0960-1481 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments 2020 erstellt Volltext nicht verfügbar |
Classification: | C45 - Neural Networks and Related Topics ; Q2 - Renewable Resources and Conservation; Environmental Management ; Q4 - Energy |
Source: | ECONIS - Online Catalogue of the ZBW |
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