DocumentCode
3404992
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
fYear
2013
fDate
20-23 Oct. 2013
Firstpage
353
Lastpage
356
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Renewable Energy Research and Applications (ICRERA), 2013 International Conference on
Conference_Location
Madrid
Type
conf
DOI
10.1109/ICRERA.2013.6749779
Filename
6749779
Link To Document