White paper
Enriching household profiles powered by NET2GRID EnergyAI®
Complete the form to receive the white paper
Summary
Incomplete or outdated household data limits the accuracy of energy disaggregation services and undermines utilities’ ability to deliver personalized, trustworthy customer experiences.
NET2GRID EnergyAI® Profile Enrichment addresses this challenge by using smart-meter data, advanced analytics, and machine learning to detect missing or incorrect information about key household Distributed Energy Resources (DERs) such as EVs and PV systems and assets such as heating and cooling systems.
A case study with EDP, one of the biggest European energy retailers, demonstrates significant improvements: enriched profiles increased detected EV and HVAC penetration, reduced unassigned energy, and delivered clearer, more reliable consumption insights. For energy retailers, this results in enhanced customer intelligence, more effective personalization, improved digital engagement, and new opportunities for targeted offerings and demand-side flexibility strategies.
The content of the white paper consists of:
-
The challenges of incomplete customer profiles
-
NET2GRID’s Profile Enrichment feature
-
Real results from EDP household analysis
-
Benefits for energy retailers