Abstract
Accurate prediction of system performance is very important for the optimal planning of solar energy systems. The latest research of artificial neural network (ANN) technology for predicting the efficiency of solar thermal systems and the performance of photovoltaic system is reported here. Application of ANN to performance assessment of solar collectors is briefly reviewed including novel all-glass straight-through evacuated tube collectors. An overview of the most recent work of ANN for combined photovoltaic/thermal panels (PV/T) and concentrating photovoltaic collectors is also provided.
| Original language | English |
|---|---|
| Title of host publication | Artificial Neural Networks - Recent Advances, New Perspectives and Applications |
| Publisher | InTech Open |
| Chapter | 17 |
| Pages | 1-17 |
| Number of pages | 17 |
| ISBN (Electronic) | 978-1-83768-223-2 |
| ISBN (Print) | 978-1-83768-222-5 |
| DOIs | |
| Publication status | Published - 25 Jan 2023 |
| MoE publication type | A3 Part of a book or another research book |
