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Energy AI

AI for the grid — from renewable forecast to last mile.

Yobitel delivers AI for transmission, distribution, generation, and retail energy — grid optimisation, asset health, demand-response forecasting, renewable forecasting, and OT cybersecurity. NERC CIP and IEC 62443 hardened, with sovereign deployment into your control-centre environment.

−15%

Grid losses

+20%

Asset uptime

NERC CIP

Control-centre safe

IEC 62443

OT segmentation

What's hard

The realities of energy & utilities AI.

Honest about the constraints. AI in this sector isn't a wrapper on a hosted LLM. It has to land inside your boundary, respect your regulators, and earn the trust of the people on the front line.

The grid is becoming a two-way market

Distributed solar, EV charging, batteries, and flexible demand turn the LV network from one-way delivery to a real-time market. Operations and planning need probabilistic, second-by-second insight.

OT cyber posture is under scrutiny

Post-NotPetya, post-Colonial Pipeline, regulators expect a hardened OT stack with monitored east-west traffic and clear control-system boundaries.

Renewables make forecasts harder, not easier

Wind, PV, hydro, and aggregated DER outputs are weather-bound and chaotic at short horizons. Ensembles plus weather-aware models outperform classical methods.

Asset health visibility is uneven

Transformers, cables, switchgear, and turbines age differently and report differently. AI has to fuse SCADA, asset registers, IoT, and field reports into a single risk view.

Where AI moves the needle

Six use cases customers ship today.

These aren't demos. Each pattern is in production for at least one customer in this sector. Click through to the underlying Yobitel app, or have us build the custom variant.

Grid optimisation & state estimation

Real-time topology and state estimation with anomaly flagging on suspect measurements; suggests optimal switching schemes.

Grid Optimiser

Asset health monitoring

Transformer, cable, and switchgear health scoring fusing dissolved-gas analysis, partial-discharge, SCADA, and inspection notes.

Asset Health

Renewable & demand forecasting

PV, wind, and aggregated-demand forecasts at intra-day, day-ahead, and week-ahead horizons. Probabilistic, with reliability intervals.

Demand Response Forecaster

Demand-response orchestration

Aggregates flexible loads, EV chargers, and behind-the-meter batteries into a virtual power plant for system services.

VPP Orchestrator

OT cybersecurity & threat detection

Behavioural baselining for substations and control rooms — alerts on east-west drift, lateral movement, and unauthorised commands.

OT Sentinel

Field-crew copilot

Multilingual SOP search, switching-procedure validation, and live asset history surfaced on a ruggedised mobile device.

Field Copilot

Regulators & frameworks

Built for the audit, not after it.

Compliance isn't a wrapper on top. It's embedded in how we deploy, train, monitor, and prove decisions for energy & utilities customers.

NERC CIP

Control-centre and substation alignment to CIP-002 through CIP-013. Identity, change-control, and BCSI handling baked into the deployment.

IEC 62443

Zone-and-conduit model for control networks. Inference appliances meet the security-level capabilities expected of zone components.

ISO 27019

Energy-utility-specific extension of ISO 27001. Sector-relevant controls for process control and energy management.

ENISA & NIS2 (EU)

Essential-entity obligations: incident reporting, supply-chain risk, corporate accountability, and minimum security baseline.

Ofgem & UK NIS Regulations

Operator-of-essential-services duties for GB transmission and distribution. CAF mapping and supply-chain disclosure.

GDPR for metering data

Smart-meter data is personal data. Lawful basis, retention, minimisation, and DPIA pattern for analytics on consumption.

How we deploy

The Energy & Utilities deployment pattern.

The shape of every successful energy & utilities engagement, refined across years of customer rollouts and grounded in the operational reality of the sector.

  1. 01

    Anchor in the control-room boundary

    Single-tenant, in-region deployment that lands inside your CIP / CAF boundary. No internet exposure for inference nodes.

  2. 02

    Bridge OT data safely

    ICCP / IEC 60870 / DNP3 / OPC UA bridged via diode or DMZ broker. Read-only paths from OT to inference; commands gated by HMI.

  3. 03

    Build a single asset view

    Fuse CIM, GIS, asset register, IoT, inspection reports, and SCADA into one model — physical, electrical, and lifecycle.

  4. 04

    Augment the operator, never replace

    Forecasts and recommendations land on the operator's HMI with confidence bands. Operator action is the only path to the grid.

  5. 05

    Audit every recommendation

    Full lineage for regulators — what the model saw, what it recommended, what the operator did, and the system outcome.

Outcomes, measured

The numbers customers put on the slide.

Quantified outcomes from production deployments. Each tied to a real customer, even when the logo is held back at their request.

−15%

Grid technical losses

DNO, Western Europe

+20%

Asset uptime

Wind operator, UK

+9pp

Forecast skill (renewables)

Power retailer, EU

−35%

Truck rolls

Multi-utility (gas + power)

Customer story

Western-European DNO

Hot-spot prediction on MV transformers cut outage minutes by 28% across the pilot region in one season.

“Yobitel built us a model that respects the control room. It runs in our CIP boundary, it talks ICCP, and it never asks the operator to take its word for it.”

What we delivered

  • −15%

    Grid technical losses

  • +20%

    Asset uptime

  • +9pp

    Forecast skill (renewables)

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Ready to ship AI in energy & utilities?

Book a working session with Yobitel engineers who've done it before in your sector. Walk away with a concrete deployment plan and an eight-week pilot scope.