Energy Foresight

See tomorrow’s energy challenges today

With Energy Foresight, operators look beyond today’s performance. etalytics uses digital twins, predictive analytics, and anomaly detection to anticipate issues, forecast energy demand, and prepare systems for tomorrow.

Trusted by leading data centers, manufacturers, and energy innovators.

The cost of being reactive

Operators are blind to tomorrow’s risks

Energy systems are influenced by asset conditions, weather, production schedules, and dynamic loads. Without predictive insight, failures come as surprises, asset failures or energy peaks cause cost spikes, and opportunities for efficiency are missed. Being reactive is costly – in energy, emissions, and downtime.

From hindsight to foresight

How it works – Predict issues, plan ahead, stay resilient

Energy Foresight uses predictive models and digital twins to:

Detect anomalies and deviations early
Forecast demand and loads
Predict asset health and failures
Simulate “what-if” scenarios for planning

This foresight empowers operators to act before problems occur, ensuring reliable and efficient operations.

Condition Monitoring

Detect risks and deviations the moment they emerge

Energy Foresight continuously analyzes thousands of signals across your energy system. Automated anomaly detection reveals hidden risks, performance drifts, and abnormal operating patterns early – before they cause downtime, cost spikes, or inefficiencies. Operators can focus on priorities instead of firefighting.

Predictive Maintenance

Know when assets need attention before they break

By monitoring patterns and anomalies in pumps, chillers, and compressors, operators can predict component degradation and schedule maintenance proactively – reducing downtime and repair costs.

Energy Forecasting

Forecast demand to cut peaks and costs

Foresight models predict energy consumption based on weather, occupancy, and production schedules. Operators can avoid cost spikes, optimize procurement, and align operations with demand.

Scenario Simulations

Test “what-if” strategies before deploying

Operators can simulate extreme scenarios, operational changes or retrofits within the digital twin – from adjusting setpoints to replacing equipment – and see predicted impacts on cost, CO₂, and reliability before implementation.

Proven foresight

From reactive to proactive operations

Customers use Energy Foresight to detect anomalies earlier, prevent unplanned downtime, and anticipate cost-driving demand peaks. Predictive insights help operators shift from reactive firefighting to proactive control.

Automotive
AI Cuts Ventilation Energy Use by 60% at Stellantis Paintshop
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Pharma/ Chemical
Significant Savings for a Leading Pharma Company
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Data Center
Optimal Control for Data Center Cooling Systems
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Automotive
Optimizing Automotive Production: AI-Driven Cooling System Enhancements
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Step into the future

Bring foresight to your energy systems

Anticipate tomorrow’s challenges today – with predictive analytics you can trust.

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