Publications

X Author: Alfonso Capozzoli

2023

Nagy, Zoltan, Gregor P. Henze, Sourav Dey, Javier Arroyo, Lieve Helsen, Xiangyu Zhang, Bingqing Chen, Kadir Amasyali, Kuldeep Kurte, Ahmed Zamzam, Helia Zandi, Ján Drgoňa, Matias Quintana, Steven McCullogh, June Young Park, Han Li, Tianzhen Hong, Silvio Brandi, Giuseppe Pinto, Alfonso Capozzoli, Draguna Vrabie, Mario Bergés, Kingsley Nweye, Thibault Marzullo, and Andrey Bernstein."Ten questions concerning reinforcement learning for building energy management."Building and Environment (2023) 110435. DOI
Chen, Zhelun, Zheng O'Neill, Jin Wen, Ojas Pradhan, Tao Yang, Xing Lu, Guanjing Lin, Shohei Miyata, Seungjae Lee, Chou Shen, Roberto Chiosa, Marco Savino Piscitelli, Alfonso Capozzoli, Franz Hengel, Alexander Kuhrer, Marco Pritonic, Wei Liu, John Claub, Yimin Chen, and Terry Herr."A review of data-driven fault detection and diagnostics for building HVAC systems."Applied Energy Vol.339 No..121030 (2023). DOI
Coraci, Davide, Silvio Brandi, Tianzhen Hong, and Alfonso Capozzoli."Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings."Applied Energy 333 (2023) 120598. DOI

2022

Pinto, Giuseppe, Riccardo Messina, Han Li, Tianzhen Hong, Marco Savino Piscitelli, and Alfonso Capozzoli."Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics."Energy and Buildings 276 (2022) 112530. DOI
Pinto, Giuseppe, Zhe Wang, Abhishek Roy, Tianzhen Hong, and Alfonso Capozzoli."Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives."Advances in Applied Energy 5 (2022) 100084. DOI