NEW WEBINAR: How AI/ML is Transforming Power Generation, Trading & Dispatch Decisions
Recent ISO rule changes make daily capacity declaration accuracy a critical profit driver for generating companies. View this webinar to learn how Primex AI/ML technology can improve declaration accuracy by 30-50%.
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White Paper Download: AI in Power Generation
The Trough of Despair – Where AI Hype Meets Reality in Power Generation and How to Navigate Through It
This paper explores the realistic opportunities AI presents to improve power plant performance, examining its true potential, existing use cases, and limitations that need to be addressed to enable widespread adoption and value.DOWNLOAD NOW
Webinar Series: Machine Learning for Power Plant Managers
1. Introduction to Machine Learning and Power Plant Use Cases
2. Power Plant Machine-Learning Use Case #1: Generation Monitoring and Diagnostics
3. Power Plant Machine-Learning Use Case #2: Capacity and Fuel Demand Forecasting
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Anomaly detection: Small deviations can mean big bucks
Primex, the latest entrant into the field of operational anomaly detection and machine-learning (ML) services for gas-turbine-based plants, introduced its technology to the wider combined-cycle (CC) community through a series of four webinars held in June and July 2023.
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Generation Asset Performance Assurance – Changing the Game with Machine Learning
Geared for generation asset owners, managers and operators, this presentation describes how machine learning technology is transforming asset performance assurance and forecasting to improve management decisions, reliability and value.
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Machine Learning Proves Value at 740 MW CCGT Merchant Plant
In what may be an industry first, research and development at a 740 MW combined cycle plant proves the power of machine learning to detect previously unidentifiable performance anomalies in real time and forecast performance to enhance day-ahead merchant power market bid strategies. This presentation summarizes the situation, solution and results achieved during the trial program and future expectations.
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