Monitor BHKW, PV, batteries, transformers in real-time with ML-powered analytics, predictive maintenance, and power quality analysis.
Analyze Your Grid →Whether combined heat and power units (BHKW), photovoltaic systems (PV), battery storage systems or transformers – with our grid and drive analysis you get detailed insights into the performance, efficiency and health of your energy generation and distribution systems. Our ML algorithms detect anomalies, predict failures and optimize operating parameters automatically.
From solar inverters to industrial drives – AI-powered insights for every component in your energy system.
Track combined heat and power (CHP) systems in real-time. Monitor electrical efficiency, thermal output, emissions, and maintenance intervals. AI detects performance degradation and recommends optimal service timing.
Monitor BHKW →String-level monitoring of photovoltaic systems. Detect shading, soiling, module degradation, and inverter issues. Compare actual yield vs. theoretical maximum and identify underperforming assets.
Analyze Solar →Deep analytics for lithium-ion, lead-acid, and flow batteries. Track state-of-charge (SOC), state-of-health (SOH), cycle counts, temperature gradients, and capacity fade. Predict end-of-life 6+ months ahead.
Battery Insights →Monitor transformer loading, oil temperature, tap changer operations, and loss factors. AI optimizes load distribution and predicts thermal hotspots before damage occurs, extending transformer life.
Transformer AI →IEC 61000-4-30 Class A compliant power quality monitoring. Track voltage sags, swells, harmonics (THD), flicker, and frequency deviations. Identify sources of disturbances and quantify financial impact.
Quality Metrics →ML models trained on vibration, temperature, current, and acoustic data predict component failures before they occur. Integrates with CMMS systems for automated work order generation and parts ordering.
Enable Predictive AI →A large chemical plant deployed our grid analysis across 40+ motor drives, 3 transformers, and backup generators. ML algorithms detected bearing wear in a critical pump 3 weeks before failure. Scheduled maintenance during planned shutdown saved €450,000 in lost production and avoided catastrophic equipment damage.
A 50 MW solar farm integrated our string-level PV analytics. The system identified 200+ underperforming modules due to manufacturing defects (covered by warranty), 15 failing inverters, and optimal cleaning schedules based on soiling analysis. Annual energy yield increased by 12%, adding €680,000 in revenue.
A municipal utility operates 12 BHKW units (8 MW total). Our analytics platform monitored exhaust temps, cylinder pressures, oil analysis, and vibration. Predictive maintenance reduced unplanned outages from 18/year to 1/year. Heat availability improved from 97.2% to 99.8%, meeting regulatory requirements and avoiding €120k in penalties.
Get complete visibility into your grid infrastructure with AI-powered predictive analytics.
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