most citedInterpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees

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eess.SY2026

Multi-market value-stacking: Battery control for combined imbalance participation and non-uniform FCR bidding

Celle Hendrickx, Fabio Pavirani, Chris Develder

The growing share of Renewable Energy Sources (RES) in modern power systems increases both grid imbalances and frequency deviations, reinforcing the need for ancillary services suc…

eess.SY2026

Neural Network-Assisted Model Predictive Control for Implicit Balancing

Seyed Soroush Karimi Madahi, Kenneth Bruninx, Bert Claessens +1

In Europe, balance responsible parties can deliberately take out-of-balance positions to support transmission system operators (TSOs) in maintaining grid stability and earn profit,…

eess.SY2026

Herd Behavior in Decentralized Balancing Models: A Case Study in Belgium

Max Bruninx, Seyed Soroush Karimi Madahi, Timothy Verstraeten +3

In a decentralized balancing model, Balance Responsible Parties (BRPs) are encouraged by the Transmission System Operator (TSO) to deviate from their schedule to help the system re…

eess.SY2025

Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing

Seyed Soroush Karimi Madahi, Kenneth Bruninx, Bert Claessens +1

In Europe, profit-seeking balance responsible parties can deviate in real time from their day-ahead nominations to assist transmission system operators in maintaining the supply-de…

eess.SY2025★ 1 cited

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees

Toon Van Puyvelde, Mehran Zareh, Chris Develder

In recent years, deep reinforcement learning (DRL) algorithms have gained traction in home energy management systems. However, their adoption by energy management companies remains…