Case studies on generation M&D, predictive analytics, capacity/fuel demand forecasting
As a follow-on to its popular 2023 webinar series, Primex presents a new and improved series to help power plant managers understand machine-learning basics and learn how this rapidly evolving technology can improve power plant availability, capacity, and efficiency. Each webinar includes a 20-30 minute live presentation including recent case studies and lessons learned, followed by Q&A with all participants.
Introduction to Machine Learning and Power Plant Use Cases
Discover how machine-learning works, how it relates to AI and an overview of how it can help power plant managers improve availability, capacity, and efficiency.
Wednesday June 12th, 2pm ET
Power Plant Machine Learning Case Study: Generation Monitoring and Diagnostics
Combined with human expertise, machine-learning can transform asset productivity and value. Attend this webinar to learn how this rapidly evolving technology helps detect improvement opportunities, diagnose problems and optimize performance. Recent actual cases from combined-cycle and hydroelectric generating plants will be presented and discussed.
Tuesday June 25th, 2pm ET
Power Plant Machine-Learning Case Study: Capacity and Fuel Demand Forecasting
Accurately predicting the future has always been valuable. Attend this webinar to learn how managers responsible for generation assets operating in merchant markets can reduce errors in daily capacity declarations by 50% or more and optimize fuel procurement. Recent actual cases from combined-cycle generating plants will be presented and discussed.
Tuesday July 9th, 2pm ET
