31 citations · 56 across the 6 of their papers we have counts for
6 papers
Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households
Gargya Gokhale, Niels Tiben, Marie-Sophie Verwee +3
Given its substantial contribution of 40\% to global power consumption, the built environment has received increasing attention to serve as a source of flexibility to assist the mo…
Physics Informed LSTM Network for Flexibility Identification in Evaporative Cooling Systems
Manu Lahariya, Farzaneh Karami, Chris Develder +1
In energy intensive industrial systems, an evaporative cooling process may introduce operational flexibility. Such flexibility refers to a systems ability to deviate from its sched…
Computationally efficient joint coordination of multiple electric vehicle charging points using reinforcement learning
Manu Lahariya, Nasrin Sadeghianpourhamami, Chris Develder
A major challenge in todays power grid is to manage the increasing load from electric vehicle (EV) charging. Demand response (DR) solutions aim to exploit flexibility therein, i.e.…
Optimized cost function for demand response coordination of multiple EV charging stations using reinforcement learning
Manu Lahariya, Nasrin Sadeghianpourhamami, Chris Develder
Electric vehicle (EV) charging stations represent a substantial load with significant flexibility. The exploitation of that flexibility in demand response (DR) algorithms becomes i…
Defining a synthetic data generator for realistic electric vehicle charging sessions
Manu Lahariya, Dries Benoit, Chris Develder
Electric vehicle (EV) charging stations have become prominent in electricity grids in the past years. Analysis of EV charging sessions is useful for flexibility analysis, load bala…
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators
Manu Lahariya, Craig Innes, Chris Develder +1
Soft actuators offer a safe, adaptable approach to tasks like gentle grasping and dexterous manipulation. Creating accurate models to control such systems however is challenging du…