NET2GRID Release Notes - v3.43

Improvements

We’ve enhanced our disaggregation algorithms to improve the detection accuracy of key appliances and activities, including:

• Cooking

• Laundry

• Space Heating

• Water Heating

• Pool & Sauna

These improvements focus on three key areas:

Advanced Machine Learning Methods
New techniques enhance the detection of Pool & Sauna appliances for greater accuracy.

Refined Detection Models
Updated models for Cooking, Laundry, and Water Heating now incorporate market-specific technical and demographic insights, improving precision based on typical consumption behavior and appliance energy usage.

Optimized Training Process
The Space Heating model now undergoes more granular monthly retraining to better capture seasonal patterns and shifts in user behavior.

These enhancements will roll out gradually, continuously improving disaggregation accuracy as models adapt to new data and evolving consumption trends.