New feature - Profile Correction Recommender

v3.46

Profile Correction Recommender

Introduction

This new feature addresses the challenge of missing or inaccurate household profile information. EnergyAI detects the presence of certain Distributed Energy Resources (DERs) and reports the findings to Customers via a B2B report. This report can be used to inform end users to update their profile, so they can receive a more representative energy disaggregation.

How Does It Work?

Recommender Mechanism: The feature is powered by NET2GRID’s advanced DER detection algorithms. The latest Deep Learning-based models ensure highly accurate DER asset detection, even in the absence of profile information around DER assets.

Unlocking Hidden Insights: Customers can request a monthly B2B report highlighting end-users who are DERs owners, and this information is not depicted in their profiles. Specifically, the report identifies users with undeclared Electric Vehicles (EVs), Photovoltaic (PV) systems, and HVAC appliances.

Bridging the User Engagement Gap: By improving profile accuracy, this feature enables more precise and personalized disaggregation insights.

Key Benefits for EnergyAI Customers

• Develop more representative installation profiles for large customer cohorts.

• Improve end-user profile accuracy, leading to better energy insights and engagement.

• Conduct targeted marketing campaigns for upselling products and services towards owners of specific DERs.

This feature is a significant step toward enhancing disaggregation accuracy while providing a more accurate view of the household composition of the user base of energy retailers.

Interface Specification

You can find the interface specification of this new report here.