Transform data into actionable insights that pinpoint precisely where to prioritize corrective actions.
Explore operational data to pinpoint asset health risks and underperformance issues. Directly offer root cause analysis and maintenance suggestions for different issue categories.
View multiple categories of losses based on industry best practices – with deep dives for each. Analyse losses from single assets to entire portfolios.
Cut labor-intensive processes and improve efficiency with prioritized corrective action recommendations based on issue severity levels.
AI Analytics for Solar and Wind
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 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.
Gain recommendations to enhance operational efficiency, extend equipment lifespan, and maximize asset value.
Operations and maintenance strategies have evolved significantly in recent years, especially with the advent of artificial intelligence.
