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Simulation based validation of a reinforcement learning-based operation strategy for sector-coupled district heating system

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  • Abdurahmanovic, Nermina
  • Schmoll, Florian
  • Cadenbach, Anna
  • Menze, Manfred
  • Anwarzai, Tarek

Abstract

Heating represents a major share of energy use in Germany, making it a critical sector in the energy transition. District heating systems (DHS) are key to decarbonising heat supply, particularly when integrating renewable energy sources and sector-coupled components. However, exploiting this flexibility requires advanced operational strategies. Artificial intelligence (AI), particularly reinforcement learning (RL), offers a promising approach, but its performance must be validated under realistic operating conditions before deployment.

Suggested Citation

  • Abdurahmanovic, Nermina & Schmoll, Florian & Cadenbach, Anna & Menze, Manfred & Anwarzai, Tarek, 2026. "Simulation based validation of a reinforcement learning-based operation strategy for sector-coupled district heating system," Energy, Elsevier, vol. 360(C).
    • Handle: RePEc:eee:energy:v:360:y:2026:i:c:s0360544226019584
    DOI: 10.1016/j.energy.2026.141851
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