A new machine learning algorithm to explore the CO2 emissions-energy use-economic growth trilemma
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1572-9338
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A new machine learning algorithm to explore the CO2 emissions-energy use-economic growth trilemma ; day:27 ; month:6 ; year:2022 ; pages:1-19
Annals of operations research ; (27.6.2022), 1-19
- Klassifikation
-
Natürliche Ressourcen, Energie und Umwelt
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10479-022-04787-0
- URN
-
urn:nbn:de:101:1-2022081922462143881758
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:38 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Magazzino, Cosimo
- Mele, Marco
- SpringerLink (Online service)
Ähnliche Objekte (12)
A machine learning algorithm to explore the drivers of carbon emissions in Chinese cities
Forecasting national CO2 emissions worldwide
Efficient CO2 emissions control with national emissions taxes and international emissions trading
Correcting Consumer Misperceptions about CO2 Emissions
Energy economics : CO2 emissions in China
Using machine learning to explore human multimodal clarification strategies
CO2 Emissions and GDP: Evidence from China
Historical CO2 Emissions and Their Worldwide Allocation
ICT, openness and CO2 emissions in Africa
CO2 Emissions Embodied in Austrian International Trade
A general framework for estimating CO2 emissions
Energy efficiency and fluctuations in CO2 emissions
A machine learning algorithm to explore the drivers of carbon emissions in Chinese cities
Forecasting national CO2 emissions worldwide
Efficient CO2 emissions control with national emissions taxes and international emissions trading
Correcting Consumer Misperceptions about CO2 Emissions
Energy economics : CO2 emissions in China
Using machine learning to explore human multimodal clarification strategies
CO2 Emissions and GDP: Evidence from China
Historical CO2 Emissions and Their Worldwide Allocation
ICT, openness and CO2 emissions in Africa
CO2 Emissions Embodied in Austrian International Trade
A general framework for estimating CO2 emissions
Energy efficiency and fluctuations in CO2 emissions
A machine learning algorithm to explore the drivers of carbon emissions in Chinese cities
Forecasting national CO2 emissions worldwide
Efficient CO2 emissions control with national emissions taxes and international emissions trading
Correcting Consumer Misperceptions about CO2 Emissions
Energy economics : CO2 emissions in China
Using machine learning to explore human multimodal clarification strategies
CO2 Emissions and GDP: Evidence from China
Historical CO2 Emissions and Their Worldwide Allocation
ICT, openness and CO2 emissions in Africa
CO2 Emissions Embodied in Austrian International Trade
A general framework for estimating CO2 emissions