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All Journal International Journal of Electrical and Computer Engineering ASEAN Journal of Systems Engineering Teknofisika Journal of Engineering and Technological Sciences JPSE (Journal of Physical Science and Engineering) Jurnal Ilmiah Universitas Batanghari Jambi Jurnal Bakti Saintek: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Journal of Appropriate Technology for Community Services International Journal Of Science, Technology & Management (IJSTM)
Mohammad Kholid Ridwan
Department Of Nuclear And Physics, Faculty Of Engineering Universitas Gadjah Mada, Yogyakarta, Yogyakarta 55281, Indonesia.
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Transportation Other

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Journal : International Journal of Electrical and Computer Engineering

 1 
Conceptual Framework of Modelling for Malaysian Household Electrical Energy Consumption using Artificial Neural Network based on Techno-Socio Economic Approach Boni Sena; Sheikh Ahmad Zaki; Fitri Yakub; Nelidya Md Yusoff; Mohammad Kholid Ridwan
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (630.703 KB) | DOI: 10.11591/ijece.v8i3.pp1844-1853

Abstract

The residential sector was one of the contributors to the increase in the world energy consumption and CO2 emission due to the increase population, economic development, and improved living standard. Developing a reliable model of electrical energy consumption based on techno-socio economic factors was challenging since many assumptions need to be considered. Over the past decade, bottom-up approaches such as multi-linear regression, artificial neural network (ANN), and conditional demand analysis were used for developing mathematical models to investigate interrelated characteristics among techno-socio economic factors. However, the existing models mostly were focused on countries that had different socio-economic level and cultures from the developing countries of the Association of Southeast Asian Nations. Similar studies in that tropical region were very scarce and only limited for linear modelling under the conditions of techno-socio economic factors. In this study, we proposed ANN for developing a model of electrical energy consumption based on techno-socio economic factors for a tropical region, Malaysia. In order to develop the model, quantitative measurement and qualitative assessment were required. The quantitative measurement was based on the monitoring of total electrical energy consumption with a one-minute interval. In contrast, the qualitative assessment utilized a questionnaire survey to assess household characteristics based on techno-socio economic parameters. The objective of this paper was to propose a conceptual framework of the estimation model for household electrical energy consumption with the consideration of techno-socio economic factors using ANN.
Co-Authors Abram Perdana Adyta Pradana Nurrachman Ahmad Agus Setiawan Ahmad Agus Setiawan Ahmad Agus Setiawan Arif Darmawan Bayu Ardiyanto Bertha Maya Sopha Boni Sena Budy Wiryawan Defi Rizkasari Dyah R. Hizbaron Fadli Kasim Feikal Aprieza Fitri Yakub Hizbaron, Dyah R. Junun Sartohadi M. Yayan Adi Putra Maria E. I. Shrestha Nelidya Md Yusoff Nuri Aslami Ramadhan, Aska Resistentio Vembre Franika Robbani, Farisan Sasongko Pramono Hadi Sheikh Ahmad Zaki Shrestha, Maria E. I. Subur Priyono Syam Widiyanto Utami, Sentagi Sesotya Wahyu Wilopo Zulkifli Zulkifli