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AI Optimization

Plant optimisation via machine learning

Proactive instead of reactive: our automation workflow integrates machine learning scripts and acts proactively to optimise building and portfolio management.

This is where our automation workflow comes into its own. Our script engine combines forecasting (acting proactively) with reinforcement learning (learning from operation). In combination with the rule chain, the optimal control variables can be implemented – always within the comfort and safety corridors for highly automated and intelligent building and portfolio operation.

The advantages of the Eliona AI Framework

Peak shaving that works

Forecast detects peak loads early – consumers/storage facilities/tariffs react in good time.

Learning control

Reinforcement learning suggests target values, and the automation workflow implements them – with approval, if desired.

Direct business impact

More streamlined processes, fewer technician call-outs, lower energy and process costs.

Clearly documented with data

Alarms, tickets, switching commands – automated, traceable and fast.

Read our white paper on the topic

AI-driven and optimised infrastructure operation with reinforcement learning & forecasting models

Using artificial intelligence today

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