Loading...
Please wait, while we are loading the content...
Similar Documents
An Improved Event Detection Algorithm for Non-Intrusive Load Monitoring System for Low Frequency Smart
| Content Provider | Semantic Scholar |
|---|---|
| Author | Meters Imran, Abdullah Al Syrus, Minhaz Ahmed Rahman, Hafiz Abdur |
| Copyright Year | 2016 |
| Abstract | The traditional event detection algorithm used in Non-Intrusive Load Monitoring (NILM) for low frequency smart meters, is aimed to detect high power consuming appliances in particular. As the level of noise generated by the high capacity loads, detecting events caused by low power consuming devices is a major challenge. In this paper, we have looked into various issues of low frequency smart meters for the steady-state method of NILM algorithm. Also, we have proposed an improved event detection algorithm to extract more consistent and exclusive event for individual loads. Later, we have used the proposed event detection algorithm on practical data collected from a low frequency smart mete deployed in a residential building. The evaluation shows that, our algorithm detects events more precisely and accurately than the traditional algorithm. Also, it reduces the event space of individual appliance and extract an additional feature which helps to differentiate similar events of different appliances in real and reactive power region. Keywords—Non-Intrusive Load Monitoring; Low Frequency; Edge Detection; Additional Load Feature |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://nilmworkshop.org/2016/proceedings/Poster_ID27.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
