6533b828fe1ef96bd1288e2e
RESEARCH PRODUCT
User Activity Recognition for Energy Saving in Smart Homes
Salvatore GaglioMarco OrtolaniPietro CottoneGiuseppe Lo Resubject
EngineeringComputer Networks and CommunicationsComputer scienceEnergy managementContext (language use)Information theoryComputer securitycomputer.software_genreTask (project management)Activity recognitionUser Profiling Energy saving Pattern RecognitionHome automationActivity discoveryStructural modelingBuilding management systemConsumption (economics)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEnd userbusiness.industryPeak load avoidanceEnergy consumptionIndustrial engineeringComputer Science ApplicationsEnergy conservationRisk analysis (engineering)Hardware and ArchitectureData miningbusinessRaw datacomputerSoftwareEnergy (signal processing)Information Systemsdescription
Abstract Energy demand in typical home environments accounts for a significant fraction of the overall consumption in industrialized countries. In such context, the heterogeneity of the involved devices, and the non negligible influence of the human factor make the optimization of energy use a challenging task; effective automated approaches must take into account basic information about users, such as the prediction of their course of actions. Our proposal consists in learning customized structural models for common user activities for predicting the trend of energy consumption; the approach aims to lower energy demand in the proximity of predicted peak loads so as to keep the overall consumption within a predefined range, thus minimizing the impact on the end users. In order to build the models, the inherent recursive structure of user activities is abstracted from raw sensor readings, via an approach based on information theory. Experimental assessment based on publicly available datasets and synthesized consumption models is provided to show the effectiveness of our proposal.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-01-01 |