Grid4C provides Software as a Service (SaaS) analytics offerings aimed at all parties participating in the energy value chain: utilities, traders, distributers, grid operators, renewable energy power stations, electricity retailers and energy consumers.

The Grid4C portfolio consists of the following applications:

  • Grid4C Load Research and Forecasting
  • Grid4C Meters Operational Monitoring
  • Grid4C Revenue Protection
  • Grid4C Solar Power Forecasting
  • Grid4C Customer Segmentation & Targeting
  • Grid4C Customer Cross Sales Analysis
  • Grid4C Customer Churn Analysis
  • Grid4C Customer Engagement
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Grid4C Load Research and Forecasting

Grid4C Load Research and Forecasting

Real-time Machine-learning Big-Data engine that provides accurate load forecasts at the meter / appliance and sub-hour levels. Bottom up aggregations and top down disaggregations enable to forecast at any level of granularity (transformer / appliance / meter / customer / industry / territory level etc.)

Grid4C Load Research and Forecasting
Grid4C Meters Operational Monitoring

Grid4C Meters Operational Monitoring

A fully automated self-learning product that detects early warnings of meter malfunctioning patterns, caused by defects or configuration problems.

Grid4C Meters Operational Monitoring
Grid4C Revenue Protection

Grid4C Revenue Protection

Advanced Machine Learning based product that monitors each meter separately, identifies anomalies, and takes into account customer and spatial parameters in order to detect and predict sophisticated thefts

Grid4C Revenue Protection
Grid4C Solar Power Forecasting

Grid4C Solar Power Forecasting

An adaptive automated engine that provides accurate solar power forecasting based on proprietary Machine Learning algorithms.

Grid4C Solar Power Forecasting
Grid4C Customer Segmentation & Targeting

Grid4C Customer Segmentation & Targeting

Takes into account customer parameters, consumption behavior profiles and patterns, together with spatial data, in order to build both bottom-up and top down customer segmentations for pricing and energy efficiency programs. Clusters customers according to their usage patterns, predicts customers' response to marketing offerings

Grid4C Customer Segmentation & Targeting
Grid4C Customer Cross Sales Analysis

Grid4C Customer Cross Sales Analysis

Uses advanced proprietary algorithms to disaggregate a household's total consumption in order to identify relevant appliances for customer targeting purposes. Takes into account customer parameters, consumption behavior profiles, usage patterns, and spatial data, as well as the customer's existing plans and products, in order to suggest the next best offering for a customer.

Grid4C Customer Cross Sales Analysis
Grid4C Customer Churn Analysis

Grid4C Customer Churn Analysis

Takes into account customer parameters, consumption behavior profiles and patterns, customer complaints and spatial data, in order to predict each customer's churn probability and provide customer churn root-cause analysis.

Grid4C Customer Churn Analysis
Grid4C Customer Engagement

Grid4C Customer Engagement

Proprietary Machine Learning algorithms Learn the usage patterns of each customer, detect usage deviations, and automatically disaggregate irregularities to identify the appliances causing them. This automatically produces personalized recommendation messages, informing the customer about the irregularities detected, the appliance involved, and the effect on the monthly bill. Advanced visual tools are used to present a customer's personalized usage profile and usage patterns, billing forecasts and more.

Grid4C Customer Engagement