Model-driven Per-panel Solar Anomaly Detection for Residential Arrays
Abstract
References
Index Terms
- Model-driven Per-panel Solar Anomaly Detection for Residential Arrays
Recommendations
SunDown: Model-driven Per-Panel Solar Anomaly Detection for Residential Arrays
COMPASS '20: Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable SocietiesSolar arrays often experience faults that go undetected for long periods of time, resulting in generation and revenue losses. In this paper, we present SunDown, a sensorless approach for detecting per-panel faults in solar arrays. SunDown's model-driven ...
Automatic Damage Detection on Rooftop Solar Photovoltaic Arrays
BuildSys '20: Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationHomeowners may spend up to ~$375 to diagnose their damaged rooftop solar PV systems. Thus, recently, there is a rising interest to inspect potential damage on solar PV arrays automatically and passively. Unfortunately, current approaches may not reliably ...
Flattening the Duck Curve Using Grid-friendly Solar Panel Orientation
e-Energy '18: Proceedings of the Ninth International Conference on Future Energy SystemsBy adopting grid-scale solar power, a utility can reduce both its carbon footprint and its fuel bills for legacy thermal generation plants. However, as solar penetration increases, generation can exceed load during the middle of the day, and diurnal ...
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computing Machinery
New York, NY, United States
Journal Family
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Refereed
Funding Sources
- NSF
- DOE
- Massachusetts Department of Energy Resources
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 255Total Downloads
- Downloads (Last 12 months)131
- Downloads (Last 6 weeks)15
Other Metrics
Citations
View Options
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML FormatLogin options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in