A photovoltaic anomaly data identification method based on image feature detection
The supervisory control and data acquisition (SCADA) system of photovoltaic (PV) power plants records a substantial volume of operational and maintenance data that is crucial for the routine maintenance. However, abnormal data resulting from extreme weather, sensor failures, and other factors signif...
Saved in:
| Main Authors: | QIU Yutao, ZHANG Lei, ZHOU Kaiyun, YAN Min, SUN Jintong, LONG Huan |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
zhejiang electric power
2025-05-01
|
| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=d80ae34c-5a51-4d9d-b57c-a2404e53ffe8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Admiral Ushakov Marine State University
by: V. V. Butenko
Published: (2016-06-01) -
MODERN METHODS OF AUTOMATIC RECTANGLE OBJECTS DETECTION
by: E. S. Matusevich, et al.
Published: (2019-06-01) -
Applying Canny edge detection and Hough transform algorithms to identify irrigation channel boundaries in irrigation districts
by: LU Hongfei, et al.
Published: (2025-05-01) -
Detection of Water Surface Using Canny and Otsu Threshold Methods with Machine Learning Algorithms on Google Earth Engine: A Case Study of Lake Van
by: Pinar Karakus
Published: (2025-03-01) -
Case Study on Photovoltaic System: Impact of Solarimetric Stations on Simulations and Anomaly Detection
by: João Lucas de S. Silva, et al.
Published: (2025-01-01)