Forecasting 2030 CO2 reduction targets for Russia as a major emitter using different estimation scenarios
Year of publication: |
2023
|
---|---|
Authors: | Gurbanov, Sarvar ; Mikayilov, Jeyhun I. ; Mukhtarov, Shahriyar ; Yagubov, Sakit |
Subject: | CO2 emissions | forecasting | machine learning algorithm | Russia | sustainable development | Russland | Treibhausgas-Emissionen | Greenhouse gas emissions | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Nachhaltige Entwicklung | Sustainable development | Szenariotechnik | Scenario analysis | Prognose | Forecast | Luftverschmutzung | Air pollution |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Notes: | Die 2 in CO2 ist in der Vorlage tiefergestellt |
Other identifiers: | 10.1080/15140326.2022.2146861 [DOI] hdl:10419/314211 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Belbute, José M., (2015)
-
Filippov, S. P., (2023)
-
Modeling, forecasting, and nowcasting U.S. CO2 emissions using many macroeconomic predictors
Bennedsen, Mikkel, (2019)
- More ...
-
Gurbanov, Sarvar, (2023)
-
Gurbanov, Sarvar, (2023)
-
Could financial development eliminate energy poverty through renewable energy in Poland?
Mukhtarov, Shahriyar, (2023)
- More ...