Title :
Locality sensitive hashing of customer load profiles
Author :
Beretka, Sandor F. ; Varga, Ervin D.
Author_Institution :
Fac. of Tech. Sci., Univ. of Novi Sad, Novi Sad, Serbia
Abstract :
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.
Keywords :
customer profiles; load distribution; power distribution planning; power distribution reliability; power engineering computing; customer load profiles; distributed local generation; load data; locality sensitive hashing; power distribution systems; power quality; Feature extraction; Home appliances; Load modeling; Neural networks; Neurons; Training; Water heating; autoencoder; feature set; load profile; locality sensitive hashing;
Conference_Titel :
Renewable Energy Research and Applications (ICRERA), 2013 International Conference on
Conference_Location :
Madrid
DOI :
10.1109/ICRERA.2013.6749779
