Energy providers now face the gargantuan task of meeting growing demands for power while managing increasing amounts of data and the rising risk of severe weather events. In this harsh environment, intelligent automation and data analytics provide a much-needed solution to delivering on demand.

Attend to learn:

• How machine learning (ML) algorithms optimize grid operations, predict demand patterns, and ensure efficient energy distribution
• the role of ML in bridging the gap between available national-scale datasets for energy resources and grid integration
• How data analytics can predict and respond to fluctuating energy demands and weather patterns, ensuring energy delivery remains reliable and efficient