Monitoring
What is happening? Grafana shows load, climate, meter readings and availability from traceable time series.
AI-powered energy. Smarter cities.
Understand energy. Act intelligently.
EnergiAI connects real building and energy data with understandable analysis for municipalities, schools and public infrastructure.
Demo object: sports hall, Rhineland
Values on this page are marked as demo data. Real measurements, calculated metrics, estimates and excluded raw values are shown separately.
Current load
18.4 kW
Measured
Today
214 kWh
Calculated
Freshness
12 min
Demo
Live data
Public live demo
This demo shows a privacy-safe anonymized view. Internal Grafana dashboards and customer data remain separated.
Demoquelle: anonymisierte Sporthalle Rheinland · Zeitraum: kuratierter Beispielausschnitt · echte Grafana-Panels werden nach Freigabe als eingeschränkte Viewer-Embeds ersetzt.
Electricity
Heat
Forecast
Visible data quality
- Measured Temperature 21.6 °C OK
- Calculated Daily energy 214 kWh OK
- Estimated CO₂ 82 kg Factor documented
- Sporthalle Lohmar temperature 21.3 °C Value updated: 2026-09-11 05:21:56 CEST
Example EnergiAI interpretation
Example: The highest plausible temperature in the demo period is within usage hours. An extreme raw value was detected as implausible and excluded from maxima, averages and recommendations.
Status: Beispielinterpretation, nicht als produktiver Live-AI-Output ausgegeben.
Solution
From raw data to decisions.
Analysis
Why is it happening? EnergiAI marks outliers, baselines, usage windows and data gaps with explainable context.
Optimization
What should change? Recommendations are tied to source, time range, unit and data-quality status.
Solutions
Buildings in view
EnergiAI is designed for real operational data: hourly readings, indoor climate, usage profiles and states from existing systems.
Current temperature
Live
21.3 °C
- Power usage
- Heat demand
- Temperature
- Humidity
- Anomalies
- Reports
Live data
Import data
Existing time series are preserved and cleaned in a traceable way.
Detect patterns
The analysis highlights outliers, benchmarks and periods with unusual demand.
Guide action
Engineering, administration and reporting work from the same data base.
Prepare a pilot for public buildings.
Existing exports, sensor lists or a single building are enough for a first conversation.