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Neatly represented and properly classified load profiles are fundamental to many control optimization techniques of modern power systems, especially in a distribution area. This paper presents a novel load profile management software framework for boosting the efficiency of power systems operation. The proposed framework encodes and classifies load profiles in real-time. Imperfections as well as time-shifts...
Precise determination of load profiles is a key process in optimal control of power distribution systems. The emerging need for electricity, the penetration of distributed local generation and the rising power quality requirements imposes more advanced algorithms to be used. In this paper locality sensitive hashing is presented, which uses feature sets extracted from load data by autoencoders.
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