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Conference Paper Crowd-sourcing Home Energy Efficiency Measurement System
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Authors
Young-Sung Son, Hyonyung Han, Jun Jo, Jun-Hee Park
Issue Date
2015-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2015, pp.1275-1278
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2015.7354794
Project Code
15IC1400, Home Information Remote Aggregation and Context Inference ? Prediction Technology Development, Park Jun Hee
Abstract
This paper describes crowd-sourcing home energy efficiency measurement system that includes ways for logging, analyzing, mining, measuring and recommending energy usage activity at home. These activities are based on HVAC devices (air-conditioner, boiler, and temperature sensors. Our system can help to build more valuable applications for management, resource optimization and upgrading user experience. In energy efficiency analyzing, heterogeneous environments make it to be difficult to accurately analyze and predict energy use in mild climates than in more severe climate. Individual sensing and measuring can cause inaccurate data and each home's analysis does not make a respectable result. In this paper, we can achieve crowd-sourcing home data gathering and manipulating data analysis for energy efficiency at home.
KSP Keywords
Air conditioner, Crowd-sourcing, Data analysis, Data gathering, Energy efficiency measurement, Energy use, Heterogeneous environment, Home energy efficiency, Inaccurate data, Resource optimization, energy usage