activity
20172025
most citedPrivacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting

15 citations · 24 across the 9 of their papers we have counts for

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6 papers · 1 filter

eess.SY2025

Uncertainty quantification in load profiles with rising EV and PV adoption: the case of residential, industrial, and office buildings

Aiko Fias, Md Umar Hashmi, Geert Deconinck

The integration of photovoltaic (PV) generation and electric vehicle (EV) charging introduces significant uncertainty in electricity consumption patterns, particularly at the distr…

eess.SY2025

Grid-Aware Flexibility Operation of Behind-the-Meter Assets: A review of Objectives and Constraints

Elias Mandefro Getie, Hossein Fani, Md Umar Hashmi +2

The high penetration of distributed energy resources (DERs) in low-voltage distribution networks (LVDNs) often leads to network instability and congestion. Discovering the flexibil…

eess.SY2024★ 1 cited

Improved Physics-Informed Neural Network based AC Power Flow for Distribution Networks

Victor Eeckhout, Hossein Fani, Md Umar Hashmi +1

Power flow analysis plays a critical role in the control and operation of power systems. The high computational burden of traditional solution methods led to a shift towards data-d…

eess.SY2024★ 1 cited

Impact of Dynamic Operating Envelopes on Distribution Network Hosting Capacity for Electric Vehicles

Hossein Fani, Md Umar Hashmi, Emilio J. Palacios-Garcia +1

The examination of the maximum number of electric vehicles (EVs) that can be integrated into the distribution network (DN) without causing any operational incidents has become incr…

eess.SY2022★ 7 cited

Combined Peak Reduction and Self-Consumption Using Proximal Policy Optimization

Thijs Peirelinck, Chris Hermans, Fred Spiessens +1

Residential demand response programs aim to activate demand flexibility at the household level. In recent years, reinforcement learning (RL) has gained significant attention for th…

eess.SY2021

Model-predictive control and reinforcement learning in multi-energy system case studies

Glenn Ceusters, Román Cantú Rodríguez, Alberte Bouso García +6

Model-predictive-control (MPC) offers an optimal control technique to establish and ensure that the total operation cost of multi-energy systems remains at a minimum while fulfilli…