Research graph
References from AI-enabled multi-class visual fault diagnosis for large-scale solar photovoltaic systems supporting energy transition and net-zero operations. Local targets link to admitted publications; unresolved targets remain external evidence.
CNN based automatic detection of photovoltaic cell defects in electroluminescence images
10.1016/j.energy.2019.116319 · 2019 · External reference
Deep learning based automatic defect identification of photovoltaic module using electroluminescence images
10.1016/j.solener.2020.03.049 · 2020 · External reference
Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning
10.1016/j.solener.2020.01.055 · 2020 · External reference
Remote anomaly detection and classification of solar photovoltaic modules based on deep neural network
2021 · External reference
Assessment of machine and deep learning approaches for fault diagnosis in photovoltaic systems using infrared thermography
10.3390/rs15061686 · 2023 · External reference
Deep learning for solar PV fault classification using RGB imaging and comparison of preprocessing techniques
2025 · External reference
Deep learning in defects detection of PV modules: a review
10.1016/j.seja.2025.100090 · 2025 · External reference
Artificial intelligence for smart solar energy monitoring: genetic attention-based hybrid deep–handcrafted fusion for faulty solar panel image classification
10.1016/j.rineng.2025.107900 · 2025 · External reference
Optimizing solar radiation forecasting for renewable energy systems: a comparative analysis of machine learning and feature engineering techniques
2025 · External reference
AI enabled geospatial intelligence for the energy transition: a comparative CNN study on CCUS, geothermal siting, and NetZero strategies
10.1016/j.uncres.2026.100383 · 2026 · External reference
Solar photovoltaics demand for the global energy transition in the power sector
10.1002/pip.2950 · 2018 · External reference
Net-zero emissions energy systems
2018 · External reference
Progress, opportunities and challenges of achieving net-zero emissions and 100% renewables
10.1016/j.solcom.2022.100007 · 2022 · External reference
Evaluating the role of integrated photovoltaic and energy storage systems in the net-zero transition: a case study in Taiwan
10.3390/electronics12163417 · 2023 · External reference
Solar energy for net zero energy buildings: a comparison between solar thermal, PV and photovoltaic–thermal (PV/T) systems
10.1016/j.solener.2015.10.013 · 2015 · External reference
An overview of the prospects and challenges of using artificial intelligence for energy management systems in microgrids
2025 · External reference
Digital technologies for net-zero energy transition: a preliminary study
10.1007/s43979-023-00047-7 · 2023 · External reference
Shaping energy transition at municipal scale: a net-zero energy scenario-based approach
10.1016/j.landusepol.2020.104955 · 2020 · External reference
A comprehensive review of green energy technologies: towards sustainable clean energy transition and global net-zero carbon emissions
10.3390/pr13010069 · 2024 · External reference
Observations on the transition to a net-zero energy system in the United States
2021 · External reference
Solar photovoltaics demand for the global energy transition in the power sector
10.1002/pip.2950 · ExternalCitation · doi-reference
Digital technologies for net-zero energy transition: a preliminary study
10.1007/s43979-023-00047-7 · ExternalCitation · doi-reference
CNN based automatic detection of photovoltaic cell defects in electroluminescence images
10.1016/j.energy.2019.116319 · ExternalCitation · doi-reference
Shaping energy transition at municipal scale: a net-zero energy scenario-based approach
10.1016/j.landusepol.2020.104955 · ExternalCitation · doi-reference
Artificial intelligence for smart solar energy monitoring: genetic attention-based hybrid deep–handcrafted fusion for faulty solar panel image classification
10.1016/j.rineng.2025.107900 · ExternalCitation · doi-reference
Deep learning in defects detection of PV modules: a review
10.1016/j.seja.2025.100090 · ExternalCitation · doi-reference
Progress, opportunities and challenges of achieving net-zero emissions and 100% renewables
10.1016/j.solcom.2022.100007 · ExternalCitation · doi-reference
Solar energy for net zero energy buildings: a comparison between solar thermal, PV and photovoltaic–thermal (PV/T) systems
10.1016/j.solener.2015.10.013 · ExternalCitation · doi-reference
Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning
10.1016/j.solener.2020.01.055 · ExternalCitation · doi-reference
Deep learning based automatic defect identification of photovoltaic module using electroluminescence images
10.1016/j.solener.2020.03.049 · ExternalCitation · doi-reference
AI enabled geospatial intelligence for the energy transition: a comparative CNN study on CCUS, geothermal siting, and NetZero strategies
10.1016/j.uncres.2026.100383 · ExternalCitation · doi-reference
Evaluating the role of integrated photovoltaic and energy storage systems in the net-zero transition: a case study in Taiwan
10.3390/electronics12163417 · ExternalCitation · doi-reference
A comprehensive review of green energy technologies: towards sustainable clean energy transition and global net-zero carbon emissions
10.3390/pr13010069 · ExternalCitation · doi-reference
Assessment of machine and deep learning approaches for fault diagnosis in photovoltaic systems using infrared thermography
10.3390/rs15061686 · ExternalCitation · doi-reference
