Publications: BTUS Modeling and Simulation
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2021
Wang, Zhe, Tianzhen Hong, Han Li, and Mary Ann Piette."Predicting city-scale daily electricity consumption using data-driven models."Advances in Applied Energy
2 (2021) 100025. DOI
2020
Gerke, Brian F, Giulia Gallo, Sarah Josephine Smith, Jingjing Liu, Shuba V Raghavan, Peter Schwartz, Mary Ann Piette, Rongxin Yin, and Sofia Stensson."The California Demand Response Potential Study, Phase 3: Final Report on the Shift Resource through 2030."
(2020). DOI
Gehbauer, Christoph, David Blum, Taoning Wang, and Eleanor S Lee."An assessment of the load modifying potential of model predictive controlled dynamic facades within the California context."Energy and Buildings
210 (2020) 109762. DOI
Gehbauer, Christoph, David Blum, Taoning Wang, and Eleanor S Lee."Integrated Dynamic Facade Control with an Agent-based Architecture for Commercial Buildings."
(2020).
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
2004
Xu, Peng, Philip Haves, Mary Ann Piette, and James E Braun."Peak Demand Reduction from Pre-Cooling with Zone Temperature Reset in an Office Building."2004 ACEEE Summer Study on Energy Efficiency in Buildings
(2004).