Alfonso Capozzoli

Publications

Viewing 8 of 8 publications

2024

Chiosa, Roberto, Marco Savino Piscitelli, Marco Pritoni, and Alfonso Capozzoli. "A portable application framework for energy management and information systems (EMIS) solutions using Brick semantic schema." Energy and Buildings 323 (2024) 114802.

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Coraci, Davide, Silvio Brandi, Tianzhen Hong, and Alfonso Capozzoli. "An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systemsAbstract." Building Simulation 17.5 (2024) 739–770.

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Li, Han, Giuseppe Pinto, Marco Savino Piscitelli, Alfonso Capozzoli, and Tianzhen Hong. "Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset." Engineering Applications of Artificial Intelligence 130 (2024) 107701.

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2023

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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 Pritoni, 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).

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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.

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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.

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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.

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