Work

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

Year: 2018

Type: conference-paper

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.

DOI: 10.48550/arxiv.1807.03111

Authors: Kidmose, Egon, Ebeid, Emad, Jacobsen, Rune Hylsberg

Institution: Aarhus University

Language: English

Topic: Smart Grid Energy Management

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: gold

Funder: European Commission

Awards: G3207356259, G393177772, G5702163051, Energy Demand Aware Open Services for Smart Grid Intelligent Automation, Scalable Energy Management Infrastructure for Aggregation of Households