Andreas Melillo

Andreas Melillo is a Lecturer and Researcher at the Lucerne University of Applied Sciences and Arts within the Lucerne School of Engineering and Architecture. He is affiliated with the Institute of Mechanical Engineering and Energy Technology and the Competence Center for Thermal Energy Storage. Melillo holds an M.Sc. in Physics with a specialization in theoretical physics from the University of Bern.

His research focuses on Data Science applications in energy systems, particularly in simulation, modeling, and data collection for thermal energy optimization. He teaches courses on Python for Data Science and Data Collection, Integration, and Preprocessing.

Research projects include SWEET DeCarbCH TES, Smart Decentralized DHW, and GIASES, focusing on renewable energy integration and grid optimization. His publications primarily explore energy demand forecasting, building characterization, and multi-energy system modeling.