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Industry · Energy

Energy with fewer alarms that nobody owns

A solar plant raises thousands of alarms a month, an energy retailer receives thousands of distribution invoices and a solar installer processes hundreds of permits. Almost all of it is data that already exists in some system. Veodar turns it into work that is assigned, reviewed and closed.

Systems common in this industry

  • SCADA
  • Modbus
  • MQTT
  • Datadis
  • PVGIS
  • SAP IS-U
  • GIS
  • Power BI
Fig. 01Solar trackersPLANT · INVERTER0kWS1S2S3S4kW · 0–500VEODAR · EN-09Looping
The trackers turn to follow the lamp that plays the sun. When a row stops producing, the inverter detects it, the alarm goes off and the work order prints for the technician.

01

From a thousand alarms to five work orders.

Inverters, meters and weather stations send alarms over SCADA, Modbus or MQTT, and many are the same fault reported several times. We group them, check them against expected production and the weather, and open a single work order with the likely cause.

AI proposes the diagnosis and the technician confirms it in the field. Each confirmation sharpens the rules and lowers the noise for the next week.

02

Maintenance at plants where the signal does not reach.

A mobile app for technicians with the day’s orders, the plant layout, checklists for each piece of equipment and photos, working with no signal. When coverage returns, everything syncs and the order closes with the work done and the parts used.

The operations manager sees what is open, what is down and how much production each fault is costing.

03

Energy bills checked line by line.

For energy retailers and companies with many supply points: we read bills and load curves, check contracted capacity, network charges and tariff periods, and flag what does not add up, such as a reactive energy penalty or an estimated reading that keeps repeating.

In Spain, consumption for each supply point can be downloaded from Datadis, the distributors’ platform, without asking the customer to do it by hand.

04

Self-consumption from first contact to grid connection.

For installers: the proposal with a production estimate from PVGIS, the installation file with its permits and deadlines, and a customer portal where clients see where things stand and, once installed, what their system produces.

Every step has an owner and a date, and customers stop calling to ask about their installation.

Deliverables

What we usually build for energy.

  • Alarm grouping into work orders with a likely cause
  • Maintenance app with offline checklists
  • Expected versus actual production dashboard
  • AI review of energy bills and load curves
  • Consumption downloads from Datadis
  • Self-consumption portal with permits and production

Questions

What we usually get asked

Missing yours? Write it to info@veodar.com and we'll reply with a specific question, not a brochure.

What equipment do you connect to?

Anything that publishes data: inverters and meters over Modbus or MQTT, SCADA through its API or database, and manufacturer monitoring platforms that offer an API.

Can the AI act on the plant?

No. It reads, groups and proposes, but it does not send commands to equipment. Operations staff decide and carry out any switching.

Do you work with energy retailers?

Yes, mainly on checking distribution invoices, customer service and customer portals.

Does the maintenance app work offline?

Yes. Orders, checklists and photos are stored on the phone and sync when the signal returns.

Where do you start?

With alarms if you run plants; with bills if you are a retailer or a large consumer. Either way the result is measurable in the first month.

Updated:

Get started

Tell us how many alarms your plant raises a day.

With an alarm export or a sample bill we tell you what can be grouped and what checks itself. We reply by email.

Fig. 07Morse keyINFO@VEODARH · E · L · L · O