The impact of renewable energy on inflation in G7 economies : evidence from artificial neural networks and machine learning methods
Long Zhang, Hemachandra Padhan, Sanjay Kumar Singh, Monika Gupta
| Year of publication: |
2024
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|---|---|
| Authors: | Zhang, Long ; Padhan, Hemachandra ; Singh, Sanjay Kumar ; Gupta, Monika |
| Published in: |
Energy economics. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-6181, ZDB-ID 2000893-4. - Vol. 136.2024, Art.-No. 107718, p. 1-12
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| Subject: | Artificial neural network | Energy prices | Energy transition | Inflation rates | Machine learning methods | Renewable energy | Neuronale Netze | Neural networks | Künstliche Intelligenz | Artificial intelligence | Erneuerbare Energie | Inflation | Energiepreis | Energy price | Inflationsrate | Inflation rate | Prognoseverfahren | Forecasting model | Energiemarkt | Energy market | Förderung erneuerbarer Energien | Renewable energy policy |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.eneco.2024.107718 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015046686