Shading type and severity diagnosis in photovoltaic systems via I-V curve imaging and two-stream deep neural network DOI
Zengxiang He, Hongcai Chen, Shuo Shan

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 324, P. 119311 - 119311

Published: Nov. 29, 2024

Language: Английский

A Hybrid Spatiotemporal Distribution Forecast Methodology for Ies Vulnerabilities Under Uncertain and Imprecise Space-Air-Ground Monitoring Data Scenarios DOI
Chenhao Sun,

Wang Yaoding,

Xiangjun Zeng

et al.

Published: Jan. 1, 2024

The weak spots in an integrated energy system (IES) that may jeopardize the overall reliability call for timely and ecient Inspection Maintenance (I&M). One core step here is reasonable allocation deployment of limited I&M personnel or apparatus to regions periods with higher event risks, which requires a pinpoint spatiotemporal distribution forecast future vulnerabilities. For this purpose, paper presents hybrid methodology, Saliency-Rough Fuzzy Utility Pattern recognition (SRFUPr) ensemble, light space-air-ground multi-source-heterogeneous input data. To enhance its eciency productivity, parallel learning architecture identi es critical components yields instead frequencies, established. In case, more quantitative qualitative evaluations can be carried out concurrently. cope potential imprecise uncertain data scenes: assessments, both failure hazard path sets survival function likelihood boxes are incorporated designed relative path-Fussell Vesely Saliency (rp-FVS) model, consider direct impact component itself on reliability, as well indirect impacts from imprecision; analyses, underlying perilous distinguished via combination variable precision-rough model where fuzzy weights worked appropriately line their productiveness level rather than merely manual assumptions, rp-FVS-based inference logic all membership functions con gured identically according components' uncertainty. These two parts will then into rough-fuzzy Measure (RFUM) discover concealed component-vulnerability interconnection patterns. Finally, empirical case study conducted validate comprehensiveness feasibility methodology during real scenes.

Language: Английский

Citations

0
An Enhanced Buck-Boost Converter for Photovoltaic Diagnosis Application: Accurate MPP Tracker and I-V Tracer DOI
Yassine Chouay, Mohammed Ouassaid

Published: Jan. 1, 2024

Language: Английский

Citations

0
A multi-objective pelican optimization algorithm for dynamic reconfiguration of multi-type rural rooftop PV array DOI
Lingzhi Yi,

Siyue Cheng,

Yahui Wang

et al.

Journal of Intelligent & Fuzzy Systems, Journal Year: 2024, Volume and Issue: 47(5-6), P. 393 - 409

Published: Dec. 27, 2024

Language: Английский

Citations

0
Shading type and severity diagnosis in photovoltaic systems via I-V curve imaging and two-stream deep neural network DOI
Zengxiang He, Hongcai Chen, Shuo Shan

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 324, P. 119311 - 119311

Published: Nov. 29, 2024

Language: Английский

Citations

0