DOE OSTI · 3024981
Identification of pressure points in modern power systems using transfer entropy
Abstract
Power shortages disrupt daily life, economic activity, and essential services. In modern power systems, weather is an increasingly important driver of reliability: high temperatures raise demand and limit transmission capacity, and calm or cloudy periods reduce wind and solar supply. Using a data-driven analysis, this study identifies grid infrastructure whose operating patterns help predict power shortages. The results show that reliability risks often emerge from interacting stresses across generation, transmission, and demand, rather than from single bottlenecks. By clarifying how system stress propagates through the grid, this diagnostic perspective helps explain why shortages occur under specific conditions and can complement traditional planning and operational tools to support adaptive reliability strategies, targeted monitoring, and coordinated infrastructure investments.
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Tang, Katerina [Cornell University, Ithaca, NY (United States)] (ORCID:0000000291770830), Liu, M. Vivienne [Cornell University, Ithaca, NY (United States)], Anderson, C. Lindsay [Cornell University, Ithaca, NY (United States)], Srikrishnan, Vivek [Cornell University, Ithaca, NY (United States)]. 2026-03-26. Identification of pressure points in modern power systems using transfer entropy. https://doi.org/10.1016/j.crsus.2026.100660
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