This paper presents an object-oriented modeling software, LoadLab, for the load analysis of electricity distribution networks. A characteristic feature of LoadLab is that it uses load pattern models where consumption is represented as the sum of the daily and weekly rhythms of consumption, the effects of outdoor temperature on consumption, and random variation. With object-oriented modeling methods we can manage the hierarchical structure of the distribution network which is reflected in the load models. Network load patterns and their confidence intervals are obtained by combining existing load pattern models and consumer character istic data.
Banks, W. and P. Abad."An efficient optimal solution algorithm for the classification problem", Decision Sciences, 22, (1991), 1008-1023.
2.
Efron, B."Bootstrap Method, Another look at the Jack-knife", The Annals of Statistics, 7(1), (1979), 1-23.
3.
Eisenbeis, R. and R. Avery.Discriminant analysis and classification procedures : theory and applicationsLexington Books, Lexington, MA , (1972).
4.
Fisher, R."The use of multiple measurements in taxonomic problems", Annals of Eugenics, 7, ( 1936), 179-188.
5.
Gellings, C.Demand Forecasting for Electric Utilities, The Fairmont Press Inc, Lilburn, GA, ( 1992).
6.
Glover, F., S. Keene and B. Duae, "A new class of models for the discriminant problem", Decision Sciences, 19, (1988), 269-280.
7.
Jobling, S., P. Grant, H. Barker and T. Townsend."Object-oriented Programming in Control System Design: a Survey", Automatica, 30(8), (1994), 1221-1261.
8.
Karanta, I. and J. Ruusunen."Modeling of the temperature factor in short-term electrical load forecasting", Proc. of IFAC International Symposium on Control of the Power Plants and Power Systems, 2, Munich (1992), 53-57.
9.
Lou, S., K. Keng, J. Jiang and F. Cheng."Time of Use Rate Effect Using the Pattern Clustering Method", Energy, 17(11), (1992), 1093-1104.
10.
Muralidhar, K. and M. Tretter."The Evolution of an Expert DSS for Electric Utility Load Research", Computers & Operations Research , 16, (1989), 247-256.
11.
Muralidhar, K. and G. Ames and R. Sarathy."Bootstrap confidence intervals for estimating audit value from skewed populations and small samples", SIMULATION, 56(2), (1991), 119-127.
12.
MicroSoft Corporation.Microsoft Visual C++ Development System for Windows, Microsoft Press , (1995).
13.
Rahman, S. and I. Drezga."Identification of a standard for comparing short-term load forecasting techniques", Electric Power Systems Research , 25, (1992), 149-158.
14.
Räsänen, M, J. Ruusunen and R.P. Hämälainen."Customer Level Analysis of Dynamic Pricing Experiments Using Consumption Pattern Models", Energy, 20(9), (1995), 897-906.
15.
Tweed, N. and B. Stites."Managing Load Data at Virginia Power", IEEE Computer Applications in Power, January, (1992), 25-29.
