Abstract
Smart homes are part of a fundamental smart grid concept for smart cities. Home energy management system (HEMS) became an essential tool for smart homes to monitor electricity consumption and prevent energy wastages. In this paper, a Power Alert System (PAS) is proposed for HEMS to indicate the power consumption level of smart homes. In the proposed system, K-means algorithm is applied to classify power consumption into three levels, namely high, average and low. To evaluate the developed system, real-time unsupervised power consumption data has been collected from a Singapore smart home. In this practical residential environment, the developed system has performed a reliable clustering and created energy awareness for the residents. This classification of the energy consumption was compared with a traditional classification.
Original language | English |
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Title of host publication | International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 |
Publisher | IEEE |
Pages | 722-727 |
Number of pages | 6 |
ISBN (Print) | 9781538642917 |
DOIs | |
Publication status | Published - 20 Sept 2018 |
Keywords
- Home energy management system
- K-means
- Smart grid
- Smart homes