Grid4C (acquired by Bidgely)

Founded 2013

Predict energy consumption patterns and detect appliance faults using smart meter data

Pricing model

Demo

You can use Grid4C to analyze smart meter and IoT data to forecast energy demand across electrical grids. It detects and predicts faults in household appliances using existing meter readings, helping energy providers alert customers before equipment breaks down. The system forecasts electrical loads at granular levels, pinpoints energy theft, and models the dispatch of distributed energy resources. It also evaluates customer behavior patterns to help utilities design accurate rate plans, predict customer churn, and maintain stability across power networks.

What Grid4C (acquired by Bidgely) does

Forecast electricity load curves from meter readingsIdentify faulty appliances using energy consumption signaturesGenerate personalized energy savings alerts for residential customersFlag abnormal meter readings associated with electricity theftCalculate projected monthly electric billsSegment customers based on energy consumption profilesSimulate grid asset performance under different peak load conditionsForecasts electrical grid loads at granular meter and asset levelsDetects and predicts home appliance malfunctions from smart meter dataCalculates future energy bills and delivers customer budgeting alertsIdentifies irregular electricity consumption patterns to prevent power theftAnalyzes consumer behavior to predict customer churn and response to offersModels distributed energy resource capacity and dispatch timing

Pricing breakdown

Pricing model: Book a demo

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