Short-Term Energy Load Forecasting Using Time Series Foundation Models
Centre for Networked Intelligence, IISc via YouTube
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Learn about Time Series Foundation Models (TSFMs) and their applications in short-term energy load forecasting through this learning session from the IndiaAI Impact Gen-AI Hackathon. Discover how TSFMs learn generalizable temporal patterns across domains and apply them to forecasting and anomaly detection tasks. Explore the intersection of Artificial Intelligence and Cyber-Physical Systems with focus on smart energy systems, smart buildings and cities, and energy sustainability. Get hands-on guidance through the hackathon dataset, receive boilerplate code to accelerate your development process, and understand the evaluation methodology used for the competition. Gain practical insights from IBM Research Lab's expertise in Foundation Models for Time Series Analysis and IISc's research in AI-driven cyber-physical systems. Master the tools and understanding needed to effectively explore TSFMs for energy forecasting and anomaly detection applications in real-world scenarios.
Syllabus
Time: 7:00 PM - 8:00 PM IST
Taught by
Centre for Networked Intelligence, IISc