With advanced data techniques, artificial intelligence (AI), machine learning (ML), and sophisticated statistical methods, users can analyze past and present situations while simulating future scenarios.
Move beyond descriptive and diagnostic assessment of equipment performance and failures to targeted fleet- or site-level recommendations so you can drill down to root causes and enable precise remediation of issues.
Reveal
Explore operational data to pinpoint asset health risks and underperformance issues. Directly offer root cause analysis and maintenance suggestions for different issue categories.
Visualize
View multiple categories of losses based on industry best practices – with deep dives for each. Analyse losses from single assets to entire portfolios.
Prioritize
Cut labor-intensive processes and improve efficiency with prioritized corrective action recommendations based on issue severity levels.
Technical Product Features
AI Analytics for Solar and Wind
Solar
Solar AI Analytics software provides precise insights into plant and portfolio performance for accurate decision-making.
Maximize energy production and minimize energy losses with intelligent corrective actions.
Reduce operating costs and improve reliability with predictive recommendations.
Provide exceptional visibility into performance of photovoltaic (PV) plants, with automated reporting of KPIs and underperformance warnings.
Wind
Wind AI Analytics can detect the subhealth of turbine control and major components based on the SCADA data, vibration CMS data, and add-on sensor data.
View data from assets in real time.
Monitor your operations and assets and reduce down time.
Discover sensor problems as the support for subhealth alarm accuracy and data quality.
See AI Analytics in Action!
Ready to transform your operations and maintenance strategy?
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