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Analysis of Fuel Consumption Characteristics: Insights from the Indian Human Development Survey Using Machine Learning Techniques

  • K. Shyam SundarEmail author
  • Sangita Khare
  • Deepa Gupta
  • Amalendu Jyotishi
Conference paper
  • 15 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1090)

Abstract

There are two main factors that need to be considered when using fuel—ecology and economy. Ecologically, the fuels that are clean (fuel that emits less or no CO2) are more efficient than the ones that are not clean. Economically, such clean fuels are costly compared to their counterparts. The Indian Human Development Survey (IHDS-II) 2011–12 data set provides the usage details on six different types of fuel for over 42000 households in India. This paper shows the details of the requirements and processes taken to classify the data set based on the fuel usage variables. The results are obtained using machine learning techniques on the data set to determine the factors that are responsible for the use of clean fuel over non-clean fuel in households.

Keywords

IHDS-II Fuel switching Fuel stacking Clean fuel Non-clean fuel ML Random tree 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • K. Shyam Sundar
    • 1
    Email author
  • Sangita Khare
    • 1
  • Deepa Gupta
    • 1
  • Amalendu Jyotishi
    • 2
  1. 1.Department of Computer Science & EngineeringAmrita School of EngineeringBengaluru, Amrita Vishwa VidyapeethamIndia
  2. 2.Department of ManagementAmrita School of BusinessBengaluru, Amrita Vishwa VidyapeethamIndia

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