Autor: |
Andrea Savio, Luigi De Giovanni, Mariangela Guidolin |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
Forecasting, Vol 4, Iss 2, Pp 438-455 (2022) |
Druh dokumentu: |
article |
ISSN: |
2571-9394 |
DOI: |
10.3390/forecast4020025 |
Popis: |
This paper proposes the application of a multivariate diffusion model, based on ordinary differential equations, to investigate the energy transition in Germany. Specifically, the model is able to analyze the dynamic interdependencies between coal, gas and renewables in the energy market. A system dynamics representation of the model is also performed, allowing a deeper understanding of the system and the set-up of suitable strategic interventions through a simulation exercise. Such simulation provides a useful indication of how renewable energy consumption may be stimulated as a result of well-specified policies. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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