AI Energy Analytics
Configuration → IV Curve → Forecast. Not just monitoring; diagnose, predict, act.
Why SolarTools AI Suite?
Monitoring alone is not enough. Close the diagnosis + prediction + action loop in a single platform.
SolarTools AI Suite
Engineering-grade analytics: starts with configuration, ends with action.
Configuration-Driven AI
AI accuracy starts with 'configuration quality'. Establish the analysis foundation with PV string count, module model, and meteorology mapping.
IV Curve Analytics (Smart Monitoring)
IV curve + MPP point + string behavior on a single screen. Catch string mismatch, shading, soiling, and abnormal patterns early.
Production Forecasting
Measure deviation by comparing Actual vs Forecast vs Theoretical. Empower planning and operational decisions with short/mid-term forecasts.
Root Cause & Action Suggestions
It doesn't just say 'there is an anomaly'; it lists possible root-cause candidates: inverter limitation, sensor issues, shading, soiling, data quality problems.
How It Works
SolarTools AI workflow: Configure → Analyze → Predict & Act
Configure
Device selection + PV string mapping + module brand/model definition + meteorology station selection. This layer is the AI's 'ground truth'.
Analyze
String behavior, MPP deviations, and anomaly patterns are extracted with IV curve analytics. Data quality checks are automatically applied.
Predict & Act
Deviation is measured with production forecasting. Maintenance/operation processes are accelerated with loss reason breakdown + action suggestions.
Technical Specifications
Model, data and security layers: enterprise-grade foundation
Unified Data Layer
Inverter telemetry, meter readings, PV string data, and meteorology signals merge into a single time-series model. Consistent schema = reliable analytics.
ML Pipeline (Time-series + Physics-aware)
Feature engineering + anomaly scoring + forecasting. Deviation is measured more meaningfully with PV modelling (theoretical/expected) reference.
Explainability & Traceability
The 'why' of the results is visible: which signal deviation affected which score, which string/device is affected, which timeframe is critical.
Data Quality Handling
Robust behavior against missing data, sensor drift, meter reset, outlier spikes. Reduces false alarm risk.
Real-time + Batch Operations
Monitoring/alarming on minute-level data, reporting and trend analytics on daily/monthly periods. Scalable for portfolio view.
Enterprise Security
Tenant isolation, RBAC, audit logging, secure API access. Manageable and auditable architecture for corporate customers.
Frequently Asked Questions
AI Energy Analytics — Try in Portal
Configuration → IV Curve → Forecast. Not just monitoring; diagnose, predict, act.