Publications

G. Gokhale, N. Tiben, M.S. Verwee, M. Lahariya, B. Claessens, C. Develder (2023). Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households. BuildSys ‘23.

PDF Cite DOI arXiv Abstract

C. Manna, M. Lahariya, F. Karami, C. Develder (2023). A data-driven optimization framework for industrial demand-side flexibility. Energy, 2023 (Impact Factor: 9).

PDF Cite DOI arXiv Abstract

M. Lahariya (2023). Physics-informed machine learning based identification and reinforcement learning based control of flexibility in smart grid applications. Ghent University. Faculty of Engineering and Architecture.

PDF Cite DOI Abstract

M. Lahariya, C. Innes, C. Develder, S. Ramamoorthy (2022). Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022).

PDF Cite DOI arXiv Abstract

M. Lahariya, K. Farzaneh, C. Develder, G. Crevecoeur (2022). Physics Informed LSTM Network for Flexibility Identification in Evaporative Cooling Systems. IEEE transactions on industrial informatics, 2022 (Impact Factor: 10.215).

PDF Cite Code DOI arXiv Abstract

K. Farzaneh, M. Lahariya, G. Crevecoeur (2022). A 𝑸-learning based demand response algorithm for industrial processes with flexibility. Chapter in Handbook of Smart Energy Systems.

Cite Abstract

M. Lahariya, N. Sadeghianpourhamami, C. Develder (2022). Computationally efficient joint coordination of multiple electric vehicle charging points using reinforcement learning. Sustainable Energy, Grids and Networks (Under Review).

PDF Abstract arXiv

M. Lahariya, K. Farzaneh, C. Develder, G. Crevecoeur (2021). Physics-informed Recurrent Neural Networks for The Identification of a Generic Energy Buffer System. In DDCLS 2021, Suzhou, China.

PDF Cite DOI Abstract

M. Lahariya, D. Benoit, C. Develder (2020). Synthetic Data Generator for Electric Vehicle Charging Sessions: Modeling and Evaluation Using Real-World Data. Energies, MDPI 2020 (Impact Factor 3.004).

PDF Cite Code DOI Abstract

M. Lahariya, D. Benoit, C. Develder (2020). Defining a synthetic data generator for realistic electric vehicle charging sessions. In e-Energy ‘20, Virtual.

PDF Cite Code DOI arXiv Abstract

M. Lahariya, N. Sadeghianpourhamami, C. Develder (2019). Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations.. In BuildSys ‘19, NYC, USA.

PDF Cite DOI arXiv Abstract

S. A. Hashim, M. Lahariya, S. Karmakar, A. Roy (2016). Calculation of Theoretical Performance of Boron-Based Composite Solid Propellant for the Future Applications.. In IDAD ‘16.

Cite DOI PDF Abstract