Machine learning-enhanced all-photovoltaic blended systems for energy-efficient sustainable buildings

Machine learning-enhanced all-photovoltaic blended systems for energy-efficient sustainable buildings

The focus of this work is on the optimization of an all-photovoltaic hybrid power generation systems for energy-efficient and sustainable buildings, aiming for net-zero emissions. This research proposes a hybrid approach combining conventional solar panels with advanced solar window systems and buil...

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Bibliographic Details
Main Authors: Nur-E-Alam M., Zehad Mostofa K., Kar Yap B., Khairul Basher M., Aminul Islam M., Vasiliev M., Soudagar M.E.M., Das N., Sieh Kiong T.
Other Authors: 57197752581
Format: Article
Published: Elsevier Ltd 2025
Subjects:
Automation
Carbon
Energy efficiency
Intelligent buildings
Machine learning
Meteorology
Renewable energy
Solar panels
Solar power generation
Sustainable development
Blended systems
Building applications
Hybrid energy system
Low-carbon emissions
Machine-learning
Net-zero building application
Photovoltaics
Sustainable building
Sustainable energy
Toronto
building
carbon emission
energy efficiency
machine learning
photovoltaic system
sustainability
Hybrid systems
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