A common foundation
Define asset identifiers, measurement units, timestamps, permissions and quality thresholds before connecting datasets.
Explore →The platform conceptConnect the energy system
Connect the energy system
with useful intelligence.
A framework for understanding the data, models and decisions behind AI-enabled energy systems.
Designed around decisionsFrom fragmented signals
From fragmented signals
to clearer choices.
Meter readings, network models, weather observations and asset histories describe different parts of the same system. Useful AI begins with trustworthy data, an explicit decision and a responsible operator.
This demonstration organises that journey. It does not connect to equipment, run trained models or dispatch energy assets.
01 / ObserveValidated meter, asset, weather and network data.
02 / UnderstandForecasts, anomaly detection and model context.
03 / EvaluateScenario comparisons, constraints and uncertainty.
04 / DecideHuman review, authorised action and recorded outcomes.
A defensible model
Compare forecasts with a simple baseline. Record training data, drift and confidence. Treat optimisation as constrained advice.
Explore →Accountable decisions
Separate analytics from operational control. Require permissions, review, cyber controls and rollback before deploying recommendations.
Explore →What works here today
A practical demonstration.
The research library links to official sources. The ecosystem explorer filters publicly documented organisations. The energy planner calculates and exports an illustrative scenario locally in your browser.
What a production platform would need
Licensed data, secure integrations, customer validation, operational engineering, monitoring, support and independent security testing. Any real control of energy systems requires a separate, professionally governed implementation.
Explore the working planner →