RENEWABLES

AI Agent for Production Monitoring in Renewables

Finding out about a fault too late is lost money: the agent tracks every plant and inverter in real time, compares output with what is expected and alerts you before performance falls.

AI Agent for Production Monitoring in Renewables

An AI agent for production monitoring in renewables integrates with your tools and current flow, with human supervision and traceability. Before automating we define the task, exceptions and success criteria.

We work from Barcelona and Madrid and remotely across Spain, Europe, LATAM and the United States. The agent adapts to your sector and real process, not the other way round.

We hand over the agent, its configurations, repositories and documentation in accounts owned by your company, without lock-in and with the ability to audit or rotate credentials.

Finding out about a fault too late is lost money: the agent tracks every plant and inverter in real time, compares output with what is expected and alerts you before performance falls.

THE CHALLENGE

production monitoring in renewables

In production monitoring in renewables, manual work is slow, depends on staff and leaves room for error; automating it without knowing the sector's flow is a risk. The difference is an agent with rules, exceptions and control, built for your operation.

  • Unexplained production deviation

    When generation falls below expectations, it is hard to tell if it is weather, failure or curtailment.

  • Unconsolidated plant data

    Inverter, meter and weather information is spread out and delays diagnosis.

  • Deviations detected late

    Production losses are discovered at month-end and can no longer be corrected.

APPROACH

production monitoring in renewables

An agent with rules, exceptions and milestone control, adapted to your sector.

  1. Generation data capture

    The agent collects inverter, meter and weather data from each plant.

  2. Expected performance rules

    It applies expected production thresholds by hour, day and conditions defined by the operator.

  3. Supervised diagnosis drafting

    It prepares the comparison between real and expected production and leaves it for review by the technician.

  4. Deviation traceability

    It records each deviation, its probable cause and the action taken to improve monitoring.

DELIVERABLES

production monitoring in renewables

An operational, traceable agent under your control.

  • Per-plant production dashboard

    View of real versus expected generation by plant and period.

  • Production deviation alerts

    Warnings when generation falls below the expected threshold.

  • Probable cause diagnosis

    Analysis of weather, failure or curtailment linked to each deviation.

  • Production loss report

    Summary of deviations and estimated losses by plant and month.

TRUST

AI applied to real sector processes with supervision

AI agents adapted to your sector's real operations since 2008, with human supervision, traceability and milestone control in Barcelona, Madrid and remote. Code and documentation under your control, without lock-in.

  • Adapted to your sector's real operation.
  • Human supervision with milestone and exception control.
  • A measurable first release before expanding scope.
  • Code, configurations and documentation under your control.

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