A Framework for Detecting and Translating User Behavior from Smart Meter Data

TL;DR

This paper presents an open framework and prototypes for analyzing smart meter data to detect user behavior and generate natural language reports, aiding in smart energy management.

Contribution

It introduces a novel open framework for detecting and translating user behavior from smart meter data into natural language reports.

Findings

Successful validation through an experiment

Effective detection of user behavior patterns

Generation of understandable natural language reports

Abstract

The European adoption of smart electricity meters triggers the developments of new value-added service for smart energy and optimal consumption. Recently, several algorithms and tools have been built to analyze smart meter's data. This paper introduces an open framework and prototypes for detecting and presenting user behavior from its smart meter power consumption data. The framework aims at presenting the detected user behavior in natural language reports. In order to validate the proposed framework, an experiment has been performed and the results have been presented.