no code implementations • 2 May 2024 • Kingsley Nweye, Kathryn Kaspar, Giacomo Buscemi, Tiago Fonseca, Giuseppe Pinto, Dipanjan Ghose, Satvik Duddukuru, Pavani Pratapa, Han Li, Javad Mohammadi, Luis Lino Ferreira, Tianzhen Hong, Mohamed Ouf, Alfonso Capozzoli, Zoltan Nagy
As more distributed energy resources become part of the demand-side infrastructure, it is important to quantify the energy flexibility they provide on a community scale, particularly to understand the impact of geographic, climatic, and occupant behavioral differences on their effectiveness, as well as identify the best control strategies to accelerate their real-world adoption.
no code implementations • 31 Dec 2022 • Kingsley Nweye, Siva Sankaranarayanan, Zoltan Nagy
To restore reliability, grid-interactive efficient buildings can provide flexibility services to the grid through demand response.
no code implementations • 25 Nov 2021 • Kingsley Nweye, Bo Liu, Peter Stone, Zoltan Nagy
Building upon prior research that highlighted the need for standardizing environments for building control research, and inspired by recently introduced challenges for real life reinforcement learning control, here we propose a non-exhaustive set of nine real world challenges for reinforcement learning control in grid-interactive buildings.
Model Predictive Control Multi-agent Reinforcement Learning +2
no code implementations • 17 Oct 2021 • Kingsley Nweye, Zoltan Nagy
HVAC systems account for a significant portion of building energy use.