Detection of Distributed Photovoltaic Output Anomalies Based on BIRCH and Gaussian Cloud Model
Renewable Energy and Energy Storage|更新时间:2026-01-27
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Detection of Distributed Photovoltaic Output Anomalies Based on BIRCH and Gaussian Cloud Model
“In the field of distributed photovoltaics, experts have proposed an output anomaly perception method based on BIRCH and Gaussian cloud model, which effectively reduces the dependence on high-precision irradiance data and accurately perceives photovoltaic output anomalies.”
Electric Power ConstructionVol. 46, Issue 10, Pages: 132-141(2025)
作者机构:
浙江大学电气工程学院,杭州市310027
作者简介:
基金信息:
the National Natural Science Foundation of China(U2166206)
WU Zhenyang,MA Jien,ZHANG Tianhan,et al.Detection of Distributed Photovoltaic Output Anomalies Based on BIRCH and Gaussian Cloud Model[J].Electric Power Construction,2025,46(10):132-141.
WU Zhenyang,MA Jien,ZHANG Tianhan,et al.Detection of Distributed Photovoltaic Output Anomalies Based on BIRCH and Gaussian Cloud Model[J].Electric Power Construction,2025,46(10):132-141. DOI: 10.12204/j.issn.1000-7229.2025.10.012.
Detection of Distributed Photovoltaic Output Anomalies Based on BIRCH and Gaussian Cloud Model