February 11-13, 2025 | DALLAS, TEXAS
Kay Bailey Hutchison Convention Center
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February 11-13, 2025 | DALLAS, TEXAS
Kay Bailey Hutchison Convention Center
| Artificial Intelligence (AI) drives improvements in power plants by enhancing efficiency, reducing operational costs and minimizing environmental impact. AI can analyze data from sensors and equipment to predict when maintenance is needed. AI algorithms can optimize plant operations by adjusting generation and load balancing in real-time, reducing fuel consumption and emissions. |
AI’s Power Play: Meeting the Growing Energy Demands of Data Centers
February 11, 2025 | 12:15 PM - 1:45 PM | Exhibit Hall E
Explore how the surge of artificial intelligence and data centers is transforming the energy landscape, pushing utilities and digital infrastructure providers to meet unprecedented power demands. This keynote panel will offer a deep dive into the strategies, challenges, and innovations driving the industry forward.
February 13, 2025 | 8:00 AM - 9:15 AM | Ballroom C1
Don't miss out on the opportunity to join our exclusive breakfast roundtable discussion on AI + Machine Learning on Asset Performance Management. This is your chance to connect with fellow professionals and engage directly with experts in this critical field. Our roundtables are meticulously curated to focus on specific industry topics, and they're facilitated by renowned professionals at the forefront of their domains. These coveted seats are in incredibly high demand, so act swiftly to secure yours today!
Feb 12, 2025 | 11:00 AM - 12:00 PM | C144
Online monitoring solutions use advanced pattern recognition (APR), artificial intelligence (AI) and machine learning (ML) techniques to monitor equipment and systems 24/7, detecting emerging abnormalities in their operation. These insights improve the reliability of assets and reduce costs.
In this panel discussion, hear from utilities, including Dominion Energy and Evergy, on technologies they’ve implemented, along with abnormalities identified and lessons learned.
