SolNet : open-source deep learning models for photovoltaic power forecasting across the globe
Joris Depoortere, Johan Driesen, Johan Suykens, Hussain Syed Kazmi
| Year of publication: |
2025
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|---|---|
| Authors: | Depoortere, Joris ; Driesen, Johan ; Suykens, Johan ; Kazmi, Hussain Syed |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier Science, ISSN 0169-2070, ZDB-ID 1495951-3. - Vol. 41.2025, 3, p. 1223-1236
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| Subject: | Neural networks | PV forecasting | Seasonality | Synthetic data | Transfer learning | Prognoseverfahren | Forecasting model | Neuronale Netze | Lernprozess | Learning process | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Saisonale Schwankungen | Seasonal variations | Welt | World |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2024.12.003 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015441632