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Publications: BTUS Modeling and Simulation

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 H. 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 H. 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).
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