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Proceedings of the Third International Conference on Computational Intelligence and Informatics pp 349–359Cite as

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

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Part of the book series: Advances in Intelligent Systems and Computing ((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.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India

    K. Shyam Sundar, Sangita Khare & Deepa Gupta

  2. Department of Management, Amrita School of Business, Bengaluru, Amrita Vishwa Vidyapeetham, India

    Amalendu Jyotishi

Authors
  1. K. Shyam Sundar
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  2. Sangita Khare
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  3. Deepa Gupta
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  4. Amalendu Jyotishi
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Corresponding author

Correspondence to K. Shyam Sundar .

Editor information

Editors and Affiliations

  1. CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju

  2. Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, Telangana, India

    A. Govardhan

  3. Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad (Autonomous), Hyderabad, Telangana, India

    B. Padmaja Rani

  4. Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad (Autonomous), Hyderabad, Telangana, India

    R. Sridevi

  5. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, Andhra Pradesh, India

    M. Ramakrishna Murty

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Cite this paper

Shyam Sundar, K., Khare, S., Gupta, D., Jyotishi, A. (2020). Analysis of Fuel Consumption Characteristics: Insights from the Indian Human Development Survey Using Machine Learning Techniques. In: Raju, K., Govardhan, A., Rani, B., Sridevi, R., Murty, M. (eds) Proceedings of the Third International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 1090. Springer, Singapore. https://doi.org/10.1007/978-981-15-1480-7_30

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