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04/24/2023
Stochastic MPC for energy hubs using data driven demand forecasting
Energy hubs convert and distribute energy resources by combining differe...
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02/09/2023
Designing Fairness in Autonomous Peer-to-peer Energy Trading
Several autonomous energy management and peer-to-peer trading mechanisms...
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12/23/2022
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models
With more and more data being collected, data-driven modeling methods ha...
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11/30/2022
Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation
Reinforcement Learning (RL) generally suffers from poor sample complexit...
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11/11/2022
Physically Consistent Neural ODEs for Learning Multi-Physics Systems
Despite the immense success of neural networks in modeling system dynami...
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03/10/2022
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control
Replacing poorly performing existing controllers with smarter solutions ...
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12/06/2021
Physically Consistent Neural Networks for building thermal modeling: theory and analysis
Due to their high energy intensity, buildings play a major role in the c...
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10/29/2021
Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC
Because physics-based building models are difficult to obtain as each bu...
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11/26/2020
