A perfect storm is brewing in the energy industry. Amidst aging infrastructure and reliance on fossil fuels, grid operators now struggle to integrate newer microgrids and renewable energy sources such as solar and wind into their legacy grids. Supply/demand mismatches cause energy brownouts or blackouts; voltage/frequency synchronization problems burn out expensive equipment; and security vulnerabilities could bring down the grid for millions. Where to turn to manage all this chaos? AI. In this session you will learn how Veritone optimizes the grid with predictive AI to make clean energy production more predictable, reliable and cost effective. You will understand the key components to Veritone’s patented, intelligent energy automation solution: demand forecaster, energy optimizer, device controller, grid simulator, and energy arbitrage. The session will conclude with a customer case study of one utility’s intelligent energy simulations showing drastic improvements in grid resiliency, optimization and security.
Using Predictive AI to Optimize the Grid
Databricks is the data and AI company. Thousands of organizations worldwide rely on Databricks’ open and unified platform for data engineering, machine learning and analytics. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to solve the world’s toughest problems.