Artificial Intelligence
Ilia Jeliazkov
Software Engineer @ T&D Engineering
Talk TopicWhat If Energy Could Think? AI - From Forecasting to Autonomous Energy Decisions
About the speaker
Ilia Jeliazkov is a software engineer at T&D Engineering with a background in control systems, AI, embedded systems and infrastructure management. His current work focuses on Grid-One architecture, energy AI, regulatory RAG, agentic systems and local LLM infrastructure.
About the talk
Talk DescriptionModern energy systems increasingly combine renewable generation, battery storage, EV charging, industrial loads and smart buildings, yet these assets are often managed independently. This presentation explores how AI can transform real-time data, forecasts, electricity prices, grid conditions and operational constraints into coordinated energy decisions. Using Grid-One as a practical architecture, T&D Engineering will demonstrate the transition from monitoring and forecasting to multi-objective optimization and automated control. The platform can adapt optimization priorities as market conditions, asset health and business requirements change, balancing cost, revenue, reliability, asset life and sustainability. Automated decisions remain within operator-defined policies and technical limits.
Key TakeawaysThe audience will gain a practical understanding of how AI can coordinate distributed energy assets, move energy management from monitoring toward forecasting and automated control, and balance competing business and technical objectives. The session will show how optimization priorities can adapt dynamically to market conditions, asset health and operational needs while remaining within operator-defined and technical constraints. Attendees will also see how these principles scale from individual industrial sites and energy communities to multi-asset portfolios and virtual power plants.