| Autor: |
William Sung, Ivan V. Bajic, Ryan Dela Cruz, Fred Popowich, Bob Gill, Brett Yarrow, Stephen Makonin |
| Rok vydání: |
2013 |
| Předmět: |
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| Zdroj: |
2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). |
| DOI: |
10.1109/appeec.2013.6837120 |
| Popis: |
Utility companies around the world are replacing electro-mechanical power meters with new smart meters. These digital power meters have enhanced communication capabilities, but they are not actually smart. We present the cognitive power meter (c-meter), a meter that is actually smart. By using load disaggregation intelligence, c-meter is the realization of demand response and other smart grid energy conservation initiatives. Our c-meter is made of two key components: a prototype open source ammeter and an optimized embedded load disaggregation algorithm (μDisagg). Additionally, we provide an open source multi-circuit ammeter array that can build probabilistic appliance (or load) consumption models that are used by the c-meter. μDisagg is the first load disaggregation algorithm to be implemented on an inexpensive low-power embedded processor that runs in real-time using a typical/basic smart meter measurement (current, in A). μDisagg can disaggregate loads with complex power states with a high degree of accuracy. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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