AI in Power Sector
Target actionable sources of underperformance and maximize uptime with AI in power sector advantages
SparkCognition’s AI solutions help you monitor component reliability to know up to weeks in advance when power-generating assets are trending toward failure. With machine learning (ML) models that adapt and maintain themselves dynamically whenever components or assets change, our solutions scale efficiently up and down your operations to correct areas of underperformance and maximize your uptime.
Enabling safer, more reliable operations: case studies
Predicting rare failures in hydro turbines
Providing advance notice to prevent the next $30M outage
Improving grid reliability & resilience
AI and power: A new approach to streamline maintenance and boost performance
Proactively identify anomalous behavior
SparkCognition solutions leverage machine learning at scale, monitoring component reliability and providing actionable insights to help you reduce generation losses and prevent catastrophic asset failures before they happen.
Optimize your maintenance planning
Machine learning-based anomaly management works in real-time and over time, helping you plan and bundle work orders for remote sites, reduce unnecessary checks and repairs, and increase asset availability across all operations.
Correct areas of underperformance
AI in power uses the quantitative data you already have, plus qualitative data from sources like subject matter experts, to help you discover hidden areas of underperformance, for better production efficiency.
Reducing downtime, driving efficiency, and improving profitability
Leverage the full potential of your data to enable safer and more predictable operations and de-risk your future.
Investing in a data-driven approach to focus on actual observations and system behavior within the contextual environment is a winning strategy to de-risk the future and maximize profitability for your power generation business. SparkCognition’s AI in power sector solutions help you leverage the full potential of your data—enabling safer and more predictable operations.