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Combining Deep Learning & Physics to Cut the Costs of Advanced Building Control | Ján Drgoňa (PNNL)
Physics-constrained DL for energy control of buildings | AI & Sustainable Energy | Jan Drgona
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings
Machine Learning at PNNL with Draguna Vrabie
Ján Drgoňa - Neuromancer: Differentiable Programming Library for Data-driven Modelling and Control
Draguna Vrabie | WSU Advancing AI October 2020
All you need to know about model predictive control for buildings
Energy Day: Updates from Previous Workshop Presenters
Toward Data-Driven Control of Distributed Energy Resources using RL | Sayak Mukherjee (PNNL)
1 Introduction to the Building Re Tuning Process
TrAC SciML Workshop 2022 | Invited Talk 2
Machine Learning for Reduced-Order Modeling (Prof. Bernd R. Noack)
