Artificial Intelligence (AI) and Machine Learning (ML) are transforming the energy sector by enabling intelligent decision-making, predictive analytics, and autonomous system optimization. As energy networks become increasingly complex, AI-driven technologies are helping utilities and industries improve operational efficiency, reduce maintenance costs, forecast energy demand, and enhance the integration of renewable resources. These advancements are accelerating the transition toward smarter and more resilient energy systems.
This session will focus on cutting-edge applications of AI and ML in power generation, transmission, distribution, and energy management. Topics include predictive maintenance, demand forecasting, intelligent load balancing, fault detection, digital twins, autonomous grid operations, and real-time optimization of renewable energy systems. Discussions will also explore ethical AI, data governance, cybersecurity, and the role of explainable AI in critical energy infrastructure.
Researchers, software developers, utility operators, data scientists, and technology innovators are invited to present novel algorithms, practical implementations, and case studies demonstrating how artificial intelligence is reshaping modern energy systems. The session aims to promote interdisciplinary collaboration that drives innovation in intelligent energy management and sustainable infrastructure.