IJEEC | Prediction of Electrical Energy Efficiency Using Information on Consumer's Activities

Indexing and Abstracting

Prediction of Electrical Energy Efficiency Using Information on Consumer's Activities

Md. Nasim Ali , Md. Sourav Talukder , Shovon Paul , S. M. Shahidul Alam , Mehedi Hasan Bappy , Mondira Dutta

International Journal of Electrical, Electronics and Computers (IJECC), Vol-9,Issue-3, May - June 2024, Pages 1-10, 10.22161/eec.93.1

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Article Info: Received: 03 May 2024; Accepted: 07 Jun 2024; Date of Publication: 15 Jun 2024

Abstract:

Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.

Keywords:

Electrical energy, Regression, R-squared, Energy saving, Energy conservation.

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