Application of agglomerative hierarchical clustering and logistic model development for assessing solar energy acceptability as an alternate energy option
Chemical Engineering Department, University of Port Harcourt, Nigeria.
Research Article
Global Journal of Engineering and Technology Advances, 2021, 07(01), 103–112.
Article DOI: 10.30574/gjeta.2021.7.1.0055
Publication history:
Received on 10 March 2021; revised on 15 April 2021; accepted on 17 April 2021
Abstract:
This paper is focused on the assessment of acceptability of solar energy as an alternate efficient energy management option using Agglomerative Hierarchy Cluster (AHC) and logistic regression modelling approach. The study population includes randomly selected shop-owners and residential occupants within the Port Harcourt city in Rivers State, Nigeria. The collected data sets were subjected to AHC analysis using a statistical package XLSTAT 2016 version 4.6. The central object identified from the application of AHC with respect to the sampled shop-owners and residential occupants as pertaining to the acceptability of solar energy as an alternate efficient energy management option was centered around the financial implication of energy generation and the political influence of the government solar energy policies for energy generation. Finally, logistic regression modelling approach was applied into developing a predictive model for the probability of general acceptance (variable ‘yes’) of solar energy as an effective energy management system. From the developed model the chance of acceptance of a solar energy management system is 1% with 59.5% rejection from the study population while it is 99% with an unawareness level of 40.51% from the study population.
Keywords:
Acceptability; Agglomerative hierarchy clustering; Logistic regression modeling: Solar energy
Full text article in PDF:
Copyright information:
Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0