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

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