Fault detection of large amounts of photovoltaic systems
| Authors |
Patrick Traxler |
| Editors |
|
| Title | Fault detection of large amounts of photovoltaic systems |
| Booktitle | Online Proceedings of the ECML PKDD 2013 Workshop on Data Analytics for Renewable Energy Integration (DARE'13) |
| Type | in proceedings |
| Year | 2013 |
| Pages | http://www.ecmlpkdd2013.org/wp-content/uploads/2013/09/dare2013_paper4_traxler.pdf |
| Abstract | We study a model-based approach to detect sustainable faults of photovoltaic systems. We describe models and algorithms which al- low us to analyze a large amount of photovoltaic systems. Our approach is based on median regression. We assume that we know the irradiance and produced energy of a photovoltaic system. The particular challenge of the data analysis problem we study here is the possible huge amount of photovoltaic systems and their continuous streams of data. |