Kavaken Analytical AI for optimizing turbine performance and business efficiency.

What is Kavaken?

Kavaken is an artificial intelligence-powered platform designed to enhance revenue and optimize asset management for energy companies, particularly those operating wind turbines. It provides data-centric solutions aimed at reducing operational downtime and maximizing energy production efficiency without requiring additional hardware installations or team expansion. The platform analyzes turbine data to deliver specific, actionable recommendations concerning critical operational aspects.

By leveraging AI and machine learning algorithms, Kavaken offers capabilities such as predictive maintenance to prevent component failures, power curve analysis to ensure maximum output, and forecasting to reduce balancing costs. It also includes features for tracking turbine operational behavior, automating outage categorization, and providing a revenue-focused dashboard for management oversight. The system works across various turbine makes and models, integrating SCADA and vibration data for comprehensive analysis.

Features

Predictive Maintenance: Provides advance warnings for potential main component failures using vibration and SCADA data.
Power Booster: Ensures turbines operate at maximum output and analyzes power curve shifts over time using IEC-approved methods.
Forecast+: Improves day-ahead and intraday energy production forecasts using ensembling AI algorithms and alternative data.
Tracker: Learns normal turbine behavior via AI to alert on deviations and human errors, with customizable thresholds.
Outages Automation: Automatically categorizes and reports outage reasons for better availability tracking.
Revenue Cockpit: Offers a management dashboard focused on critical, revenue-centric metrics across all plants.