Geometric numeric integration in the event-driven measurement method

• Published in: 2016 Second International Conference on Event Based Control, Communication, and Signal Processing (EBCCSP) pp. 1 - 8
• Main Author: Simonov, Mikhail
• Format: Conference Proceeding
• Language: English
• 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
• DOI: 10.1109/EBCCSP.2016.7605247

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.