TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Urban sensing and smart home energy optimisations: A machine learning approach

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoIoT-App 2015 - Proceedings of the 2015 International Workshop on Internet of Things Towards Applications, co-located with SenSys 2015
KustantajaACM
Sivut19-22
Sivumäärä4
ISBN (elektroninen)9781450338387
DOI - pysyväislinkit
TilaJulkaistu - 1 marraskuuta 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Workshop on Internet of Things towards Applications -
Kesto: 1 tammikuuta 2000 → …

Conference

ConferenceInternational Workshop on Internet of Things towards Applications
Ajanjakso1/01/00 → …

Tiivistelmä

Energy effciency for smart home applications is proposed using urban sensing data with machine learning techniques. We exploit Internet of Things (IoTs) enabled environmental and energy panel sensor data, smart home sensing data and opportunistic crowd-sourced data for energy effcient applications in a smart urban home. We present some applications where data from the IoT enabled sensors can be utilised using machine learning techniques. Prediction of small scale renewable energy using solar photovoltaic panels and environmental sensor data is used in energy management such as water heating system. Smart meter data and motion sensor data are used in household appliance monitoring applications with machine learning techniques towards energy savings. Further event detection from environmental and traffc sensor data is proposed in planning and optimising energy usage of smart electric vehicles for a smart urban home. Initial experimental results show the applicability of developing energy effcient applications using machine learning techniques with IoT enabled sensor data.