GEMINI
The advanced analytics and predictive diagnostics solution for optimized energy production.
Hight asset efficiency, profitability and performance
Predictive analytics for wind asset monitoring
Horizon Gemini’s Predictive module utilizes AI algorithms, backed by domain expertise, to detect anomalies in CMS vibration and spectra data and in
SCADA data.
Advanced analytics for solar asset monitoring
Horizon Gemini’s advanced analytics module automatically detects
under-performance, downtime, and other issues to enhance asset performance, reliability and profitability.
- Enhanced asset lifespan and performance
- Increased dependability and efficiency
- Improved operational efficiency
- Improved cost reduction
Predictive analytics for wind asset monitoring
Identify anomalies
The neural network (AI) is “trained” with the data that was received, and “learns” what a normal operation modus is.
Anomalies can then be detected against this “normal” situation using the developed algorithms if a system or customer-defined threshold is exceeded.
Advanced analytics for solar asset monitoring
Compare main KPIs
The algorithm calculates the actual production vs predicted and theoretical ratios, considering weather corrections and multiple loss categories, to identify the primary cause of lower production.
IPI
The Investor Performance Index compares the actual production to your original budget, allowing you to assess and follow up your ROI.
OPI
The Operational Performance Index measures the difference between actual production and theoretical production, to assess losses resulting from operational issues.
Availability
Track the availability of all devices to detect potential improvement of operational tasks.
Is Gemini´s predictive analytics module the right tool for your wind portfolio?
Horizon Gemini’s Predictive module has effectively identified potential damages early, resulting in substantial cost savings for clients.