Article
Photovoltaic module temperature prediction using various machine learning algorithms: Performance evaluation
Abdelhak Keddouda✉, Razika Ihaddadène, Ali Boukhari, Abdelmalek Atia, Müslüm Arıcı, Nacer Lebbihiat, Nabila Ihaddadène
Details
| Original language | English |
|---|---|
| Journal | Applied Energy |
| Volume | 363 |
| Pages | 123064 |
| Publisher | Elsevier BV |
| ISSN | 0306-2619 · 1872-9118 |
| DOI | 10.1016/j.apenergy.2024.123064 |
| Publication status | Published — 23 March 2024 |
Keywords
UN Sustainable Development Goals
- 7 — Affordable and clean energy
- 13 — Climate action
Fingerprint
- Solar Radiation and Photovoltaics
- Solar Thermal and Photovoltaic Systems
- Photovoltaic System Optimization Techniques
- machine learning regression
- ambient temperature
- solar radiation
- wind speed
- relative humidity
- LASSO
- artificial neural networks
- kernel ridge regression
- Artificial Intelligence
- Renewable Energy, Sustainability and the Environment
- Computer Science
- Energy