Manu Lahariya

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Reinforcement Learning

Electric Vehicle Charging

Simulation Model

Computationally Efficient

Top Venues

BuildSys@SenSys

IEEE Trans. Ind. Informatics

Publications

Gargya Gokhale, Niels Tiben, Marie-Sophie Verwee, Manu Lahariya, Bert Claessens, Chris Develder
Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households. BuildSys@SenSys (2023)
Gargya Gokhale, Niels Tiben, Marie-Sophie Verwee, Manu Lahariya, Bert J. Claessens, Chris Develder
Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households. CoRR (2023)
Manu Lahariya, Farzaneh Karami, Chris Develder, Guillaume Crevecoeur
Physics-Informed LSTM Network for Flexibility Identification in Evaporative Cooling System. IEEE Trans. Ind. Informatics 19 (2) (2023)
Manu Lahariya, Farzaneh Karami, Chris Develder, Guillaume Crevecoeur
Physics Informed LSTM Network for Flexibility Identification in Evaporative Cooling Systems. CoRR (2022)
Ioanna Bouri, Manu Lahariya, Omer Nivron, Enrique Portales Julia, Dietmar Backes, Piotr Bilinski, Guy Schumann
ML framework for global river flood predictions based on the Caravan dataset. CoRR (2022)
Manu Lahariya, Dries F. Benoit, Chris Develder
Defining a synthetic data generator for realistic electric vehicle charging sessions. CoRR (2022)
Manu Lahariya, Nasrin Sadeghianpourhamami, Chris Develder
Computationally efficient joint coordination of multiple electric vehicle charging points using reinforcement learning. CoRR (2022)
Manu Lahariya, Craig Innes, Chris Develder, Subramanian Ramamoorthy
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators. IROS (2022)
Manu Lahariya, Craig Innes, Chris Develder, Subramanian Ramamoorthy
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators. CoRR (2022)
Manu Lahariya, Nasrin Sadeghianpourhamami, Chris Develder
Optimized cost function for demand response coordination of multiple EV charging stations using reinforcement learning. CoRR (2022)
Manu Lahariya, Dries F. Benoit, Chris Develder
Defining a synthetic data generator for realistic electric vehicle charging sessions. e-Energy (2020)
Manu Lahariya, Nasrin Sadeghianpourhamami, Chris Develder
Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations. BuildSys@SenSys (2019)