Real-world user flexibility of energy consumption: two-stage generative model construction. - Nasrin Sadeghianpourhamami; Matthias Strobbe; Chris Develder (SAC, 2016)

Quantifying flexibility in EV charging as DR potential: Analysis of two real-world data sets. - Chris Develder; Nasrin Sadeghianpourhamami; Matthias Strobbe; Nazir Refa (SmartGridComm, 2016)

Modeling Real-World Flexibility of Residential Power Consumption: Exploring the Cylindrical WeiSSVM Distribution. - Nasrin Sadeghianpourhamami; Dries F. Benoit; Dirk Deschrijver; Chris Develder (e-Energy, 2018)

Achieving Scalable Model-Free Demand Response in Charging an Electric Vehicle Fleet with Reinforcement Learning. - Nasrin Sadeghianpourhamami; Johannes Deleu; Chris Develder (e-Energy, 2018)

Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations. - Manu Lahariya; Nasrin Sadeghianpourhamami; Chris Develder (BuildSys, 2019)

Definition and Evaluation of Model-Free Coordination of Electrical Vehicle Charging With Reinforcement Learning. - Nasrin Sadeghianpourhamami; Johannes Deleu; Chris Develder (IEEE Trans. Smart Grid, 2020)

Optimized cost function for demand response coordination of multiple EV charging stations using reinforcement learning. - Manu Lahariya; Nasrin Sadeghianpourhamami; Chris Develder (CoRR, 2022)

Computationally efficient joint coordination of multiple electric vehicle charging points using reinforcement learning. - Manu Lahariya; Nasrin Sadeghianpourhamami; Chris Develder (CoRR, 2022)