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- Journal Article
- A1
- open access
A data-driven optimization framework for industrial demand-side flexibility
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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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- Journal Article
- A1
- open access
Physics-informed LSTM network for flexibility identification in evaporative cooling system
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Physics-informed machine learning based identification and reinforcement learning based control of flexibility in smart grid applications
(2023) -
- Conference Paper
- P1
- open access
Learning physics-informed simulation models for soft robotic manipulation : a case study with dielectric elastomer actuators
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- Conference Paper
- C1
- open access
Physics-informed recurrent neural networks for the identification of a generic energy buffer system
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- Journal Article
- A1
- open access
Synthetic data generator for electric vehicle charging sessions : modeling and evaluation using real-world data
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Defining a synthetic data generator for realistic electric vehicle charging sessions
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Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations