An alternative use of power quality information - Load signature studies & applications

Electrical appliances have distinct consumption patterns of which can be interpreted as signatures and used for various applications. Based on traditional power quality monitoring techniques, coupled with optimization algorithms and innovative pattern recognition methods and stochastic simulation tools, we are going to demonstrate in this paper how we defined different load signatures systematically, structured a disaggregation framework to identify and track individual appliances, assembled different Monte-Carlo simulators for testing purposes and proposed some innovative applications such as smart metering and equipment health monitoring using different load signatures.