predictive analytics

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by 1.5% to

In 2023, Idaho National Laboratory (INL) and Idaho State University unveiled the industry’s first near real-time digital twin of a nuclear reactor. The virtual replica of the 5-Wth AGN-201 research reactor

Artificial intelligence (AI) is rapidly transforming the power sector, offering unprecedented opportunities for efficiency and innovation. But as AI applications proliferate, new challenges are emerging. How will industry navigate the potential and challenges that accompany this digital revolution? Recent efforts to overhaul the long-established energy system in alignment with decarbonization and decentralization have introduced new […]

RALEIGH, N.C. (April 14, 2020) — Power management company Eaton today announced a new milestone in intelligent power solutions with its redesigned PredictPulse™ remote monitoring and management service. A completely new user experience for web browsers and mobile devices—based on feedback from more than 100 customers—makes it easier than ever for data center and information technology […]

The terms “cloud” and “edge” are used frequently by tech-savvy power industry professionals, but what do they mean and how are they changing plant operations? To get an insider’s perspective, POWER posed the question to Akshay Patwal, strategic business manager with Siemens Energy. Patwal leads the development and commercialization of digital business transformation projects, using […]

The long-term OSIsoft partner will unveil extended capabilities to support PI Event Frames and preview their latest software enhancement, DashHub, at the flagship event. Houston, TX, USA – April 9, 2019 – TrendMiner NV, a Software AG company and provider of the leading self-service predictive analytics software, announced today that they will be previewing the […]

Silicon Valley Power implemented a system using machine-learning technology to monitor critical power plant components. The solution has proven to reduce downtime and save money. Furthermore, its wireless

Predictive maintenance is preferred over preventive maintenance for critical assets, but the correct application of advanced analytics is required to realize full value. Power plants of all types have a host

Austin, TX (Dec. 5, 2017) — Drillinginfo, the energy industry’s leading SaaS and data analytics company, announced today it has acquired Dallas-based Pattern Recognition Technologies (PRT), a global leader in energy forecasting. This acquisition marks a significant addition to Drillinginfo’s current offerings while diversifying its solution-focused capabilities as the foremost analytics firm in the energy […]

New technology is being used throughout the power industry to improve plant efficiency, predict trouble with degrading equipment, forecast weather trends, and train workers. A recent conference hosted by POWER