DField SolutionsMérnöki stúdió · Budapest
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AI solutions · Energy

AI for energy + utilities

Demand forecasting, asset failure prediction, and customer-service automation are the AI use-cases that pay for themselves in a quarter. We build the forecasting models, the eval gate, and the regulator-friendly audit trail.

AI training dashboard · DField SolutionsMockup of an ML training dashboard · accuracy climbing over training steps with a per-token throughput chart.infer_metrics.ipynbliveACCURACY94.2%P95 LATENCY1.2sTOK / SEC312ACCURACYLOSSTOKENS / STEPSTEP 12,480 / 16,000gpt-style · 7B params
01WHAT WE SHIP/ 03

AI for energy + utilities

    01Load / demand forecasting (15-min granularity)
    02Asset failure prediction (transformers, turbines)
    03Customer-service LLM with regulator-safe answers
    04Renewable generation forecasting
    05Tariff-optimisation recommender
02COMMON QUESTIONS/ 03

Common questions · Energy

What most people ask · answered before you have to.

Q01

What does AI solutions for Energy include?

Demand forecasting, asset failure prediction, and customer-service automation are the AI use-cases that pay for themselves in a quarter. We build the forecasting models, the eval gate, and the regulator-friendly audit trail.

Q02

What's a common AI solutions use case in Energy?

Typical engagements include: Load / demand forecasting (15-min granularity); Asset failure prediction (transformers, turbines). Every build ships with an eval gate, observability, and a 30-day hyper-care window.

Q03

What compliance and risk does Energy add?

NIS2 essential-entity status for utilities, OT/IT segmentation, and IEC 62443 for industrial control systems. We separate the IT zone from the OT plant network, log every cross-boundary call, and the documentation is what the regulator wants to see.

03LET'S GET STARTED./ 03

Let's get started.

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