For UK commercial and industrial renewable portfolios

The Operating System for Renewable Energy Assets

Monitor, predict and optimise every solar, wind and hydro plant from one intelligent platform.

Live Monitoring, AI Forecasting, Asset Performance, O&M Workflows, SCADA & API

Rooftop solar on a brick warehouse in Kent
PortfolioSample data

Live output

2.66 MW

Today

14.2 MWh

Availability

96.8%

SiteOutputPR
Ashford Distribution Centre812 kW84.1%
Maidstone Cold Store446 kW81.7%
Canterbury Farm Array0 kWn/a
Tonbridge Works Roof298 kW78.2%
Dover Logistics Hub1104 kW85.4%

Works with the inverters in your portfolio

HuaweiSolisGrowattSungrowSMASolarEdgeFroniusAlphaESSGoodWeKACOKehuaFIMER

The questions asset owners and O&M teams ask every day

Portfolio live view

From fleet to a single string in four clicks

Start with portfolio availability, open the plant, find the inverter, read the alarm. Every level shows production, capacity and performance.

  • Lost generation: See how many kWh each fault costs, plant by plant.
  • Availability: Track availability across the whole portfolio in one view.
  • Downtime: Find inverters that stopped before your monthly report does.
  • Revenue impact: Translate underperformance into pounds, not just percentages.
Alarms, todaySample data
  • 07:40

    CriticalCanterbury Farm Array

    INV-03 grid fault, output 0 kW

  • 07:52

    MajorTonbridge Works Roof

    String 2.4 current 41% below peers

  • 08:15

    MinorAshford Distribution Centre

    Comms latency above 10 min

Loss analysis

Turn asset data into avoided losses

Downtime, curtailment, underperformance and open faults are converted into estimated lost revenue so you fix the most expensive problem first.

Estimated lost revenue today

Sample data

£2,325

Inverter downtime£1,240
Grid curtailment£580
Underperformance£320
Unresolved fault£185

AI that acts

Detect, predict, decide, act

AI is an operating loop, not a chatbot. Every insight ends in an action you can verify.

  • Signal: Inverter 12 output deviates 18% from the expected curve.
  • Context: Irradiance, temperature and past behaviour compared.
  • Impact: Estimated production loss: 420 kWh per day.
  • Action: Inspection work order created and assigned.
  • Outcome: Production recovery verified after the fix.
PerformanceSample data

Canterbury Farm Array, expected vs actual

Shaded: 09:00 to 11:30, 420 kWh below expected.

O&M workflow

From alarm to recovered production

Create a work order from an alarm, assign a technician and confirm the plant is back to expected output.

  • Anomaly, Work order, Technician, Resolution, Recovery
Technician checking an inverter on a tablet at a UK solar farm
Work orderSample data

WO-2318 Inspect INV-03

Resolved
Created fromCritical alarm, 07:40
AssignedField team, South East
On site10:05
FixAC breaker reset, firmware updated
RecoveryBack to expected output 11:32

Integrations

Every data source, clearly labelled

Inverter APIs and cloud portals

Live

Polling, 5 to 15 min refresh

Meters and IoT sensors

Live

LoRaWAN and meter data

Weather and irradiance

Live

Hourly regional irradiance

REST API (WorkyApi)

Live

Read plant, production and alarm data

MQTT

Beta

Streaming device data

FTP and file ingestion

On request

Scheduled CSV import

SCADA / PLC

On request

Site controller integration

OPC UA

On request

Industrial data connector

See inverter compatibility

Multi-asset

One platform for mixed portfolios

Solar PV
Solar PV
Wind
Wind
Hydro
Hydro
Battery storage
Battery storage

WorkyBe ecosystem

Strong alone, stronger connected

  • WorkyFieldFault to work order to technician
  • WorkyTradeForecast to market price to trading
  • WorkySensSensor and LoRaWAN field data
  • WorkyEttaMulti-site energy management
  • WorkyApiUnified API and data access

Built for operators

Enterprise basics included

Role based access
Audit logs
Data export
GDPR aware data handling
Multi-tenant isolation
API documentation

See your portfolio in WorkyPower

Connect your first plant in minutes. Pricing from £19 per site per month.

FAQ

Frequently asked questions