Ghent University Academic Bibliography

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Neural Network Based Approaches for Fault Diagnosis of Photovoltaic Systems

Jonas Van Gompel (UGent) , Domenico Spina (UGent) and Chris Develder (UGent)

(2024) Learning and Analytics in Intelligent Systems. In Machine Learning Applications for Intelligent Energy Management p.105-129
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Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks

Jonas Van Gompel (UGent) , Domenico Spina (UGent) and Chris Develder (UGent)

(2023) ENERGY. 266.
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Graph neural networks for fault diagnosis of geographically nearby photovoltaic systems

Jonas Van Gompel (UGent) , Domenico Spina (UGent) and Chris Develder (UGent)

(2023) PROCEEDINGS OF THE 2023 THE 14TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS, E-ENERGY 2023. p.231-235
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Transfer learning in transformer-based demand forecasting for home energy management system

Gargya Gokhale (UGent) , Jonas Van Gompel (UGent) , Bert Claessens (UGent) and Chris Develder (UGent)

(2023) PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION, BUILDSYS 2023. p.458-462
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Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks

Jonas Van Gompel (UGent) , Domenico Spina (UGent) and Chris Develder (UGent)

(2022) APPLIED ENERGY. 305.
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Temporal convolutional networks for fault diagnosis of photovoltaic systems using satellite and inverter measurements

Jonas Van Gompel (UGent) , Domenico Spina (UGent) and Chris Develder (UGent)

(2021) BUILDSYS'21 : PROCEEDINGS OF THE 2021 ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILT ENVIRONMENTS. p.180-183

Academic Bibliography

Neural Network Based Approaches for Fault Diagnosis of Photovoltaic Systems

Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks

Graph neural networks for fault diagnosis of geographically nearby photovoltaic systems

Transfer learning in transformer-based demand forecasting for home energy management system

Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks

Temporal convolutional networks for fault diagnosis of photovoltaic systems using satellite and inverter measurements

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