| Autor: |
Kang, Zhaoyi, Zhou, Yuxun, Zhang, Lin, Spanos, Costas J |
| Jazyk: |
angličtina |
| Rok vydání: |
2014 |
| Předmět: |
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| Zdroj: |
Kang, Zhaoyi; Zhou, Yuxun; Zhang, Lin; & Spanos, Costas J. (2014). Virtual Power Sensing Based on a Multiple-Hypothesis Sequential Test. IEEE SmartGridComm 2013 Symposium-The Whole Picture-Sense, Communicate, Compute, Control. UC Berkeley: Center for Research in Energy Systems Transformation (CREST). Retrieved from: http://www.escholarship.org/uc/item/7rg0b8kr |
| Popis: |
Virtual-Sensing, which is achieved through the disaggregation of composite power metering signals, is a solution towards achieving fine-grained smart power monitoring. In this work we discuss the challenging issues in Virtual-Sensing, introduce and ultimately combine the Hidden Markov Model and the Edge-based methods. T he resulting solution, based on a Multiple-hypothesis Sequential Probability Ratio Test, combines the advantages of the two methods and delivers significant improvement in disaggregation performance. A robust version of the test is also proposed to filter the impulse noise common in real-time monitoring of the plug-in loads power consumption. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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