Manu Lahariya
Manu Lahariya
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Latest
Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households
A data-driven optimization framework for industrial demand-side flexibility
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators
Physics Informed LSTM Network for Flexibility Identification in Evaporative Cooling Systems
Computationally efficient joint coordination of multiple electric vehicle charging points using reinforcement learning
Physics-informed Recurrent Neural Networks for The Identification of a Generic Energy Buffer System
Synthetic Data Generator for Electric Vehicle Charging Sessions: Modeling and Evaluation Using Real-World Data
Defining a synthetic data generator for realistic electric vehicle charging sessions
Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations.
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