Revealing technological entanglements in uncertain decarbonisation pathways using bayesian networks
Year of publication: |
2024
|
---|---|
Authors: | Li, Pei-Hao ; Zamanipour, Behzad ; Keppo, Ilkka |
Published in: |
Energy policy : the international journal of the political, economic, planning, environmental and social aspects of energy. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-6777, ZDB-ID 2000898-3. - Vol. 193.2024, Art.-No. 114273, p. 1-21
|
Subject: | Uncertainty | Decarbonisation pathways | Bayesian networks | Energy system model | Bayes-Statistik | Bayesian inference | Treibhausgas-Emissionen | Greenhouse gas emissions | Risiko | Risk | Theorie | Theory | Entscheidung unter Unsicherheit | Decision under uncertainty | Klimaschutz | Climate protection |
-
Bayesian modeling of uncertainty in ensembles of climate models
Smith, Richard L., (2009)
-
Catastrophic thresholds, Bayesian learning and the robustness of climate policy recommendations
Chang, Wonjun, (2017)
-
Dynamic portfolio decisions with climate risk and model uncertainty
Rubtsov, Alexey, (2024)
- More ...
-
Förster, Hannah, (2014)
-
Beyond 2020 - Strategies and Costs for Transforming the European Energy System
Knopf, Brigitte, (2014)
-
Transforming the European Energy System: Member States Prospects Within the EU Framework
Knopf, Brigitte, (2014)
- More ...