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Titre du document / Document title

Modelling electricity demand with representative load curves

Auteur(s) / Author(s)

BALACHANDRA P. (1) ; CHANDRU V. (1) ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

(1) Department of Management Studies, Indian Institute of Science, Bangalore 560012, INDE

Résumé / Abstract

Models for electricity planning require inclusion of demand. Depending on the type of planning, the demand is usually represented as an annual demand for electricity (GWh), a peak demand (MW) or in the form of annual load-duration curves. The demand for electricity varies with the seasons, economic activities, etc. Existing schemes do not capture the dynamics of demand variations that are important for planning. For this purpose, we introduce the concept of representative load curves (RLCs). Advantages of RLCs are demonstrated in a case study for the state of Karnataka in India. Multiple discriminant analysis is used to cluster the 365 daily load curves for 1993-94 into nine RLCs. Further analyses of these RLCs help to identify important factors, namely, seasonal, industrial, agricultural, and residential (water heating and air-cooling) demand variations besides rationing by the utility.

Revue / Journal Title

Energy    ISSN  0360-5442   CODEN ENEYDS 

Source / Source

1999, vol. 24, no3, pp. 219-230 (15 ref.)

Langue / Language

Anglais

Editeur / Publisher

Elsevier, Kidlington, ROYAUME-UNI  (1976) (Revue)

Mots-clés anglais / English Keywords

Electric energy

;

Demand

;

Load curve

;

Discriminant analysis

;

Time variation

;

Statistics

;

India

;

Asia

;

Mots-clés français / French Keywords

Energie électrique

;

Demande

;

Diagramme charge

;

Analyse discriminante

;

Variation temporelle

;

Statistique

;

Inde

;

1993-1994

;

Asie

;

Mots-clés espagnols / Spanish Keywords

Energía eléctrica

;

Petición

;

Diagrama carga

;

Análisis discriminante

;

Variación temporal

;

Estadística

;

India

;

Asia

;

Localisation / Location

INIST-CNRS, Cote INIST : 16809, 35400008339278.0040

Nº notice refdoc (ud4) : 1759530



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