Predictions and Decision Making for Resilient Intelligent Sustainable Energy Systems

TL;DR

This paper reviews decision-making strategies for resilient energy systems under uncertainty, emphasizing different sources of uncertainty and identifying areas needing further research to enhance system resilience.

Contribution

It provides a comprehensive overview of uncertainty representation and decision-making levels in energy systems, highlighting gaps in current scientific understanding.

Findings

Uncertainty sources vary across energy system domains.

Certain uncertainties are well-studied, others require further research.

Effective decision-making can enhance system resilience.

Abstract

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.