University of North Dakota.
Received on 13 June 2026; revised on 21 July 2026; accepted on 24 July 2026
The ongoing shift to renewable-dominated and decentralized energy systems has created significant operational and market uncertainty, calling established electricity market structures and forecasting methodologies into question. Increasing renewable energy penetration, climate-related disruptions, demand fluctuation, and the expanding participation of dispersed energy resources have highlighted the need for more adaptable and resilient market structures. Conventional market designs, which are mostly built on deterministic assumptions, frequently fail to adjust effectively to changing situations. This study examines the role of resilience-oriented energy market design in enhancing forecasting and operational decision-making under increasing uncertainty. Drawing on existing literature on electricity market design, uncertainty management, forecasting systems, and power system resilience, the study analyzes the limitations of conventional market structures and explores strategies for improving market adaptability. The analysis identifies flexibility, adaptability, redundancy, and real-time responsiveness as core principles of resilient electricity markets. It further highlights the importance of adaptive forecasting, probabilistic decision-making, dynamic reserve management, demand response, energy storage integration, and coordinated resilience planning. A conceptual framework is proposed that integrates forecasting intelligence, risk-aware market operations, flexible resource coordination, and resilience governance. The study concludes that closer coordination between forecasting systems and operational decision-making can strengthen uncertainty management, improve market responsiveness, and enhance overall system reliability. Resilience-oriented market design is therefore essential for supporting secure, efficient, and sustainable electricity markets amid increasing operational complexity and uncertainty.
Resilience-oriented energy markets; Electricity market design; Adaptive forecasting; Energy system resilience; Uncertainty management
Preview Article PDF
Jonathan Boateng. Resilience-oriented energy market design: Adapting forecasting and decision systems to increasing uncertainty. Magna Scientia Advanced Research and Reviews, 2026, 17(02), 323–336. Article DOI: https://doi.org/10.30574/msarr.2026.17.2.0143