Predictions and Decision Making for Resilient Intelligent Sustainable Energy Systems
<|reference_start|>Predictions and Decision Making for Resilient Intelligent Sustainable Energy Systems: Future energy systems are subject to various uncertain influences. As resilient systems they should maintain a constantly high operational performance whatever happens. We explore different levels and time scales of decision making in energy systems, highlighting different uncertainty sources that are relevant in different domains. We discuss how the uncertainties can be represented and how one can react to them. The article closes by summarizing, which uncertainties are already well examined and which ones still need further scientific inquiry to obtain resilient energy systems.<|reference_end|>
@article{braun2024predictions,
    title={Predictions and Decision Making for Resilient Intelligent Sustainable
  Energy Systems},
    author={Martin Braun and Christian Gruhl and Christian A. Hans and Philipp
  H"artel and Christoph Scholz and Bernhard Sick and Malte Siefert and Florian
  Steinke and Olaf Stursberg and Sebastian Wende-von Berg},
    journal={arXiv preprint arXiv:2407.03021},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.03021},
    primaryClass={eess.SY cs.SY}
}