Artificial intelligence applications for a more resilient power grid
Artificial intelligence applications for a more resilient power grid With support from a National Science Foundation CAREER Award, Yang Weng will use machine learning and artificial intelligence applications to improve power distribution grids .
Recent widespread and extreme natural disasters as well as the drive towards clean sustainable energy sources necessitate a transformational operational and technological approaches to improve power grid resilience. Convergence of artificial intelligence (AI), distributed computing, and connectivity technologies enables these new approaches to deliver a sustainable electric grid . In particular ...
AI and the Grid
Improved customer engagement through proactive communication and personalized services Greater operational agility through faster analysis and improved decision-making Together, these capabilities highlight the growing role AI can play in helping utilities operate a more resilient , efficient, and responsive electric grid .
1.2. Role of artificial intelligence in power systems Research on power system resilience has gained widespread attention over the past decade. The application of artificial intelligence (AI) has accelerated this trend. Fig. 1 shows a sharp increase in AI-related publications, particularly in risk analysis, early warning, and recovery strategies.
Generative Artificial Intelligence for the Power Grid
Generative Artificial Intelligence for the Power Grid NLR researchers are examining ways to use generative artificial intelligence (AI) to revolutionize the power grid by providing decision support and predictive planning and control.
Four ways AI is making the power grid faster and more resilient From predicting EV charge times to pinpointing areas of high wildfire risk, AI is transforming our energy network.
AI for Energy
Key opportunities identified in the report include AI-accelerated power grid models for capacity and transmission studies, large language models to assist compliance and review with federal permitting, advanced AI to forecast renewable energy production for grid operators, smart grid applications of AI to enhance resilience, and optimization of ...
AI's transformative role in the current smart grid is explored in depth, focusing on its applications in enhancing grid stability through advanced control techniques, improving power quality, strengthening cybersecurity, enabling self-healing capabilities, fostering consumer engagement, and optimizing energy management.
A comprehensive review of AI
This review presents a comprehensive analysis of artificial intelligence (AI)-based methods for real-time grid management, and fault detection. Unlike previous works that focus on isolated grid functions, this study provides a unified framework encompassing energy monitoring and control, optimization, and resilience.
Artificial intelligence is reshaping both energy demand and energy solutions. This report explores how AI solutions can strengthen U.S. grid reliability, efficiency, and growth, while identifying safeguards to manage the risks of integrating advanced digital tools into critical infrastructure.