Evolution of Residential Electricity Demand by End-Use in Quebec 1979-1989: A Conditional Demand Analysis

Abstract

This paper presents some of the main conclusions of a temporal analysis of three large-scale electricity demand surveys (1979, 1984 and 1989)

A model of residential energy end-use in Canada: Using conditional demand analysis to suggest policy options for community energy planners

“…Tiedemann [2007] used CDA on data from 791 households in British Columbia to develop a model of electricity use. Lafrance & Perron [1994] used CDA to study the change in major energy enduses in Quebec using three large samples of households (42000, 24000, and 46000) five years apart. Larsen & Nesbakken [2004] developed a model for electricity use in Norway using data from 1453…”

Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector

“…These improvements have complex interrelated effects on the end-use energy consumption of households and detailed mathematical models are required to evaluate their effects. It was recently shown that three models have been used to model residential energy consumption: engineering method [2][3][4], neural networks (NN) [5][6][7][8][9][10][11][12], and conditional demand analysis (CDA) [13][14][15][16][17][18].…”

“…about 1360 kWh/yr/household. Lafrange and Perron [17] used the data from three large-scale surveys to estimate residential end-uses using CDA approach in Quebec. The estimates for DHW heating energy consumption were reasonable, however space heating estimates were low and cooling estimates were high.…”

Modelling of residential energy consumption at the national level

“…Some of the difficulties associated with the use of the EM-based models are the inclusion of consumer behaviour and other socioeconomic variables that have a significant effect on the residential energy use, as well as the extensive data and expertise required to develop and use such models. The most important advantage of the EM-based models is their capability to evaluate a wide range of energy efficiency upgrade scenarios.CDA, on the other hand, is a regression-based method in which the regression attributes consumption to end-uses on the basis of the total household energy consumption (Parti and Parti, 1980;Aigner et al, 1984; Fiebeg et al, 1991;Lafrance and Perron, 1994;Hsiao et al, 1995). Since CDA does not involve modelling of the energy consumption of each house, it does not require as detailed data on the characteristics of the houses as the EM does.…”

“…CDA, on the other hand, is a regression-based method in which the regression attributes consumption to end-uses on the basis of the total household energy consumption (Parti and Parti, 1980;Aigner et al, 1984; Fiebeg et al, 1991;Lafrance and Perron, 1994;Hsiao et al, 1995). Since CDA does not involve modelling of the energy consumption of each house, it does not require as detailed data on the characteristics of the houses as the EM does.…”