Estimating household electricity consumption by environmental consciousness

Estimating household electricity consumption by environmental consciousness

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Article ID: iaor201525178
Volume: 15
Issue: 1
Start Page Number: 1
End Page Number: 19
Publication Date: Nov 2015
Journal: International Journal of Productivity and Quality Management
Authors: , ,
Keywords: energy, behaviour, simulation: applications, neural networks
Abstract:

It is difficult to model household electricity consumption by considering environmental consciousness through conventional methods. This paper presents a flexible framework based on artificial neural network (ANN), multi‐layer perception (MLP), conventional regression and design of experiment (DOE) for estimating household electricity consumption by considering environmental consciousness. Environmental consciousness is evaluated through standard questionnaire. Moreover, DOE is based on analysis of variance (ANOVA) and Duncan multiple range test (DMRT). Furthermore, actual data is compared with ANN MLP and conventional regression model through ANOVA. The significance of this study is the integration of ANN, conventional regression and DOE for flexible and improved modelling of household electricity consumption by incorporating environmental consciousness indicators.

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