- ORCID iD
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0000-0002-1451-397X
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Deployable data-driven control algorithms for residential demand response : a study on specialized, problem-specific neural architectures
(2024) -
Demand response for residential building heating : effective Monte Carlo Tree Search control based on physics-informed neural networks
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Distill2Explain : differentiable decision trees for explainable reinforcement learning in energy application controllers
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Sample efficient reinforcement learning for building control : leveraging physics-informed latent representations
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Explainable reinforcement learning-based home energy management systems using differentiable decision trees
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Control policy correction framework for reinforcement learning-based energy arbitrage strategies
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HomeLabGym : a real-world testbed for home energy management systems
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- Conference Paper
- P1
- open access
Real-world implementation of reinforcement learning based energy coordination for a cluster of households
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- Conference Paper
- P1
- open access
Transfer learning in transformer-based demand forecasting for home energy management system
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- Journal Article
- A1
- open access
Physics informed neural networks for control oriented thermal modeling of buildings