New ASCE Journal Paper on Climate-Proofing Power Systems

February 9, 2024: Dr. Joseph Nyangon co-authored a new peer-reviewed publication in the ASCE Journal of Infrastructure Systems titled “Climate-proofing critical energy infrastructure: Smart grids, artificial intelligence, and machine learning for power system resilience against extreme weather events.”

The paper addresses the growing vulnerability of electric power systems as climate change intensifies extreme weather risks, compounding long-standing challenges such as aging infrastructure, regulatory transitions, and cybersecurity threats. Drawing on resilience theory, the authors present a comprehensive state-of-the-art review of the power system resilience literature, emphasizing the increasing frequency and severity of weather-related disruptions.

The study highlights how advanced technologies—including smart grids, artificial intelligence (AI), and machine learning (ML)—can play a transformative role in strengthening grid resilience. While utilities already deploy tools such as automated meter reading and advanced metering infrastructure, the paper finds that insufficient collaboration and fragmented data governance often limit their effectiveness in responding to climate risks.

The authors underscore the critical role of distributed energy resources, long-duration energy storage, microgrids, and demand-side management, demonstrating how AI- and ML-enabled smart grids can optimize these solutions. Proactive integration of these technologies can substantially reduce climate-related system costs compared to reactive, non-adaptive approaches.

Ultimately, the paper argues that climate-proofing energy infrastructure through smart, data-driven resilience strategies not only safeguards power systems but also supports a modern, place-based industrial transformation.