Estimating household electricity consumption by environmental consciousness. (1st December 2014)

• Record Type: Journal Article
• Authors: Azadeh, Ali; Narimani, Ali; Nazari, Tayebeh
• Is Part Of: International journal of productivity and quality management. Volume 15:Number 1(2015)
• Page Start: 1
• Page End: 19
• Publication Date: 2014-12-01
• Subjects: household electricity consumption -- environmental consciousness -- artificial neural networks -- ANNs -- regression -- design of experiments -- DOE -- analysis of variance -- ANOVA -- minimum absolute percentage error -- MAPE -- consumption modelling; Quality control -- Management -- Periodicals; Industrial productivity -- Management -- Periodicals; 658.5005
• Languages: English
• ISSNs: 1746-6474

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.