Michele Rossi

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Estimating Morning Ramp-Up Duration for the Cooling Season in a Smart Building Using Machine Learning:Determining Most Promising Features

Number of pages: 23 Posted: 01 Feb 2024

Farzad Dadras Javan, Italo Aldo Campodonico Avendano, Behzad Najafi, Michele Rossi and Fabio Rinaldi

Polytechnic of Milan, Norwegian University of Science and Technology (NTNU), Department of Energy, Politecnico di Milano, affiliation not provided to SSRN and Polytechnic University of Milan

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