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Abdullah F. Al-Aboosi, Aldo Jonathan Muñoz Vazquez, Fadhil Y. Al-Aboosi, Mahmoud El-Halwagi and Wei Zhan
Accurate prediction of renewable energy output is essential for integrating sustainable energy sources into the grid, facilitating a transition towards a more resilient energy infrastructure. Novel applications of machine learning and artificial intellig...
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Li Li, Gyumin Lee and Doosun Kang
A model that computes the per-unit process energy consumption, energy intensity, CO2 emission, and CO2 intensity of water treatment plants is developed. This model is used to estimate the total energy consumption of six water treatment plants in Seoul Me...
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Dario Bottino-Leone, Dagmar Elisabet Exner, Jennifer Adami, Alexandra Troi and Jessica Balest
The abandonment and deterioration of historic rural buildings in Europe raise significant issues, including hydrogeological risks, the loss of productive land, and cultural heritage decline. Despite being underestimated, these structures hold significant...
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Alice Rene? Di Rocco, Dario Bottino-Leone, Alexandra Troi and Daniel Herrera-Avellanosa
The challenge of transforming historic buildings and city centers into energy-self-sufficient environments requires innovative solutions. The research project ?BiPV meets History? addressed this challenge by providing comprehensive guidelines for assessi...
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Diego Fettermann, Pedro Christoffel, Jaime Castillo and Angelo Sant?Anna
The incorporation of renewable energy sources necessitates the upgrade of the electrical grid to a smart grid, which involves the implementation of smart meters. Although smart meters provide benefits to users, many smart meter implementation projects ha...
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