# Automatic Faults Detection of Photovoltaic Farms: solAIr, a Deep Learning-Based System for Thermal Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automatic-faults-detection-of-photovoltaic-farms-solair-a-deep-learning-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Roberto Pierdicca,Marina Paolanti,Andrea Felicetti,F. Piccinini,Primo Zingaretti |
| Citations | 145 |
| DOI | 10.3390/en13246496 |
| Fields | Computer Science,Energy,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1996-1073/13/24/6496/pdf |
| OpenAlex ID | https://openalex.org/W3112490813 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Roberto Pierdicca](https://scholariq.org/researchers/roberto-pierdicca/)
- [Marina Paolanti](https://scholariq.org/researchers/marina-paolanti/)

## Paper primary topic

- [Photovoltaic System Optimization Techniques](https://scholariq.org/topics/photovoltaic-system-optimization-techniques/)

## Paper topics

- [Photovoltaic System Optimization Techniques](https://scholariq.org/topics/photovoltaic-system-optimization-techniques/)
- [Energy and Environment Impacts](https://scholariq.org/topics/energy-and-environment-impacts/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.