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Univers - AI Analytics Software for Solar and Wind Energy
Univers offers advanced AI analytics software designed to enhance the performance and efficiency of solar and wind energy operations. This technology employs artificial intelligence, machine learning, and sophisticated statistical methods to provide actionable insights, targeting asset health risks and underperformance issues effectively. The Solar AI Analytics module maximizes energy production and minimizes losses through precise, data-driven corrective actions, offering detailed visibility into photovoltaic (PV) plant performance. For wind energy, the Wind AI Analytics detects and addresses turbine control issues and component subhealth using SCADA data, vibration analysis, and additional sensor input. The system is designed to optimize maintenance strategies, cut labor-intensive processes, and improve operational efficiency across energy portfolios.
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.
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.