SEGSys: A mapping system for segmentation analysis in energy

TL;DR

SEGSys is a comprehensive mapping system designed for detailed segmentation analysis of energy consumption at individual and neighborhood levels, supporting online/offline classification and social/spatial segmentation.

Contribution

The paper introduces SEGSys, a novel three-layer architecture system that integrates data modeling, service provision, and visualization for energy consumption segmentation analysis.

Findings

Effective segmentation of energy consumption patterns.

Supports social and spatial analysis of customers.

Validated system with real electricity data.

Abstract

Customer segmentation analysis can give valuable insights into the energy efficiency of residential buildings. This paper presents a mapping system, SEGSys that enables segmentation analysis at the individual and the neighborhood levels. SEGSys supports the online and offline classification of customers based on their daily consumption patterns and consumption intensity. It also supports the segmentation analysis according to the social characteristics of customers of individual households or neighborhoods, as well as spatial geometries. SEGSys uses a three-layer architecture to model the segmentation system, including the data layer, the service layer, and the presentation layer. The data layer models data into a star schema within a data warehouse, the service layer provides data service through a RESTful interface, and the presentation layer interacts with users through a visual map. This paper showcases the system on the segmentation analysis using an electricity consumption data set and validates the effectiveness of the system.