Towards more reliable photovoltaic energy conversion systems: A weakly-supervised learning perspective on anomaly detection-Reference-Cited by-同舟云学术

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Towards more reliable photovoltaic energy conversion systems: A weakly-supervised learning perspective on anomaly detection

Published:2024-09 Issue: Volume:316 Page:118845
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Chang Zhonghao^ORCID,Jia Kaiwen^ORCID,Han Te^ORCID,Wei Yi-Ming

Publisher

Elsevier BV

Reference46 articles.

1. Energy, exergy, and economic analyses of a new liquid air energy storage system coupled with solar heat and organic Rankine cycle;Ding;Energy Convers Manage,2022

2. Sensitivity analysis and exergoeconomic optimization of an improved He-CO2 cascade brayton cycle for concentrated solar power;Su;Energy Convers Manage,2023

3. Catalytic conversion of bio-renewable glycerol to pure hydrogen and syngas: Energy management and mitigation of environmental pollution;Khademi;Energy Convers Manage,2021

4. Faults detection and diagnosis of PV systems based on machine learning approach using random forest classifier;Amiri;Energy Convers Manage,2024

5. Solar energy for future world:-A review;Kannan;Renew Sustain Energy Rev,2016

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1. Machine-Learning- and Internet-of-Things-Driven Techniques for Monitoring Tool Wear in Machining Process: A Comprehensive Review;Journal of Sensor and Actuator Networks;2024-09-04

2. Industry 4.0-Compliant Occupational Chronic Obstructive Pulmonary Disease Prevention: Literature Review and Future Directions;Sensors;2024-09-04

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