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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhen Wei YaNan Zhang Feng Jin Wenjun Yin Lin Wu |
| Copyright Year | 2014 |
| Description | Author affiliation: Shanghai Jiao Tong Univ., Shanghai, China (Zhen Wei) || IBM Res. - China, Shanghai, China (YaNan Zhang; Feng Jin; Wenjun Yin) || NARI Technol. Dev. Co. Ltd., Nanjing, China (Lin Wu) |
| Abstract | Standby power consumption often takes place unnoticeably, the negligence of which often leads to intangible energy waste. Although there have been several studies related to this issue, no method has been developed to estimate the amount of power consumed this way by analyzing users' power consumption data. Therefore, this paper, based on findings of previous researches and users' power consumption data, proposes an innovative model to characterize users' standby power consumption. Firstly, by considering power data as continuous signal, standby power consumption is estimated by using frequency analysis and high frequency denoising model. Furthermore, Signal decomposition analysis has also been implemented as well as the conduction of rigorous mathematical derivation to get the average standby power based on thousands of power consumption data from Chinese users. Finally, results show that this method successfully separates standby power from the whole consumption dataset. Users are divided into four types based on the distribution of standby mode and nominal mode. |
| Starting Page | 16 |
| Ending Page | 21 |
| File Size | 1895858 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479960583 |
| DOI | 10.1109/SOLI.2014.6960686 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interpolation Time-frequency analysis Power demand TV standby power consumption Electricity frequency analysis energy saving service consumption user modeling demand response |
| Content Type | Text |
| Resource Type | Article |
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