Publications
2023
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
Lin, Guanjing, Marco Pritoni, Yimin Chen, Raphael Vitti, Christopher Weyandt, and Jessica Granderson."Implementation and test of an automated control hunting fault correction algorithm."Energy & Buildings
Vol.283 No..112796 (2023). DOI
2022
Liu, Jingjing, Rongxin Yin, Lili Yu, Mary Ann Piette, Marco Pritoni, Armando Casillas, Jiarong Xie, Tianzhen Hong, Monica Neukomm, and Peter Schwartz."Defining and applying an electricity demand flexibility benchmarking metrics framework for grid-interactive efficient commercial buildings."Advances in Applied Energy
8 (2022) 100107. DOI
2021
Touzani, Samir, Anand Prakash, Zhe Wang, Shreya Agarwal, Marco Pritoni, Mariam Kiran, Richard E. Brown, and Jessica Granderson."Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency."Applied Energy
(2021). DOI
2020
Liu, Jingjing, Rongxin Yin, Marco Pritoni, Mary Ann Piette, and Monica Neukomm."Developing and Evaluating Metrics for Demand Flexibility in Buildings: Comparing Simulations and Field Data."ACEEE Summer Study
(2020). DOI
Prakash, Anand, Samir Touzani, Mariam Kiran, Shreya Agarwal, Marco Pritoni, and Jessica Granderson."Deep Reinforcement Learning in Buildings: Implicit Assumptions and their Impact."RLEM'20: Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities
(2020). DOI