Knowledge Representation for Event-Driven Metering

In electrical engineering, event-driven metering is a paradigm enabling different information coding with respect to the conventional time-domain metering techniques. It supplies unevenly spaced time series of compressed data representing energy measurements. This paper discusses about the data- and knowledge-representation of energy-based data in Low Voltage segments of Smart Grids. A representation based on tri-vectors and four-vectors is introduced to represent non-uniform linear time finite elements in unevenly spaced time series of metering data. The proposed representation is based on an original interpretation of process orientation in terms of accumulated energy. Practical examples taken from the data gathered from a new event-driven metering device are shown.