M. Lahariya

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
• Physics-informed machine learning based identification and reinforcement learning based control of flexibility in smart grid applications
• 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
• A 𝑸-learning based demand response algorithm for industrial processes with flexibility
• 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.
• Calculation of Theoretical Performance of Boron-Based Composite Solid Propellant for the Future Applications.