Electricity customer classification using frequency–domain load pattern data

Enrico Carpaneto; Gianfranco Chicco; Roberto Napoli; M. Scutariu

doi:10.1016/j.ijepes.2005.08.017

ScienceGate Book Chapters

JOURNAL ARTICLE

Electricity customer classification using frequency–domain load pattern data

Enrico Carpaneto Gianfranco Chicco Roberto Napoli M. Scutariu

Year: 2005 Journal: International Journal of Electrical Power & Energy Systems Vol: 28 (1)Pages: 13-20 Publisher: Elsevier BV

DOI: 10.1016/j.ijepes.2005.08.017

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Electricity Data mining Cluster analysis Tariff Domain (mathematical analysis) Representation (politics) Set (abstract data type) Data set Electricity market Machine learning Artificial intelligence Engineering Mathematics

Metrics

Cited By

1.29

FWCI (Field Weighted Citation Impact)

Refs

0.82

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Smart Grid Energy Management

Physical Sciences → Engineering → Electrical and Electronic Engineering

Water Systems and Optimization

Physical Sciences → Engineering → Civil and Structural Engineering

Electricity customer classification using frequency–domain load pattern data

Metrics

Citation History

Topics

Related Documents

Application of clustering techniques to load pattern-based electricity customer classification

Frequency domain pattern classification

06/02650 Electricity customer classification using frequency-domain load pattern dataCarpaneto, E. et al. International Journal of Electrical Power & Energy Systems, 2006, 28, (1), 13–20

Load Pattern-Based Classification of Electricity Customers

Partial discharge pattern classification using frequency-domain statistical descriptors