Forecasting photovoltaic production with neural networks and weather features
Stéphane Goutte, Klemens Klotzner, Hoang-Viet Le, Hans-Jörg von Mettenheim
| Year of publication: |
2024
|
|---|---|
| Authors: | Goutte, Stéphane ; Klotzner, Klemens ; Le, Hoang-Viet ; Mettenheim, Hans-Jörg von |
| Published in: |
Energy economics. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-6181, ZDB-ID 2000893-4. - Vol. 139.2024, Art.-No. 107884, p. 1-12
|
| Subject: | Machine learning | Time series forecasting | Neural networks | Solar energy | Entity embedding | Neuronale Netze | Prognoseverfahren | Forecasting model | Sonnenenergie | Zeitreihenanalyse | Time series analysis | Künstliche Intelligenz | Artificial intelligence | Photovoltaik | Photovoltaics | Wetter | Weather | Theorie | Theory | Prognose | Forecast | Energieprognose | Energy forecast |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.eneco.2024.107884 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015532936