Geometric numeric integration in the event-driven measurement method

The Event-Driven Metering (EDM) method is about data-driven compression of the measurement data based on the replacement of the original arbitrary shape of the load by a simplified polygonal line that represents the same values of the energy per interval of time. EDM algorithm receives the Shannon d...

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Bibliographic Details
Published in2016 Second International Conference on Event Based Control, Communication, and Signal Processing (EBCCSP) pp. 1 - 8
Main Author Simonov, Mikhail
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2016
Subjects
Clocks
Data compression
Energy measurement
Energy measurements
Event-based communication
Geometric Numeric Integration
Global Positioning System
Lebesgue integrals
Shape
Smart grid
Time-frequency analysis
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DOI10.1109/EBCCSP.2016.7605247

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Summary:The Event-Driven Metering (EDM) method is about data-driven compression of the measurement data based on the replacement of the original arbitrary shape of the load by a simplified polygonal line that represents the same values of the energy per interval of time. EDM algorithm receives the Shannon data samples encoding the local measurements and reports the pre-processed knowledge to the controlling hosts in the form of Lebesgue-based events. This article explains the mathematical foundations of the invention that allows improved data efficiency. Method decomposes the global behavior of an energy system in a sequence of linearized chunks and exploits the energy conservation law in order to set up data-driven geometric integration. The result is an operator that maps a load shape into a data-efficient sequence of tokens representing exactly the same energy quantities as in the original pattern.
DOI:10.1109/EBCCSP.2016.7605247