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Advances in Smart Grid and Renewable Energy pp 551–558Cite as

Renewable Energy Capacity Estimation for Indian Energy Sector Using Energy Demand Forecasting Through Fuzzy Time Series

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 435))

Abstract

Rapid industrialization, change in lifestyle, population growth, etc., influence the demand for energy exponentially. Till date, fossil fuel constitutes the major component of energy mix of developing countries. The declined availability of fossil fuel is a cause of concern for developing countries like India. In this paper, the probable future energy demand trend has been depicted based on the combination of k-means clustering, and the two-factor and three-order fuzzy time series techniques considering the three decade energy scenario of India in particular. Further, the paper has outlined the need and significance of renewable energy as it compensates the energy deficit in a comparative cost-effective and environmental friendly manner.

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Author information

Authors and Affiliations

  1. Centre for Management Studies, North Eastern Regional Institute of Science and Technology, Nirjuli, Arunachal Pradesh, India

    Shibabrata Choudhury

  2. Department of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, Arunachal Pradesh, India

    Aswini Kumar Patra

  3. Department of Electrical Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, Arunachal Pradesh, India

    Adikanda Parida & Saibal Chatterjee

Authors
  1. Shibabrata Choudhury
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  2. Aswini Kumar Patra
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  3. Adikanda Parida
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  4. Saibal Chatterjee
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Corresponding author

Correspondence to Shibabrata Choudhury .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Kharagpur , Kharagpur, West Bengal, India

    Sabyasachi SenGupta

  2. Department of Electronic and Computer Engineering, Brunel University London, College of Engineering, Design and Physical Sciences, Uxbridge, Middlesex, United Kingdom

    Ahmed F. Zobaa

  3. Department of Electrical & Electronics Engineering, Sikkim Manipal Institute of Technology , Rangpo, Sikkim, India

    Karma Sonam Sherpa

  4. Department of Electrical & Electronics Engineering, Sikkim Manipal Institute of Technology , Rangpo, Sikkim, India

    Akash Kumar Bhoi

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Choudhury, S., Patra, A.K., Parida, A., Chatterjee, S. (2018). Renewable Energy Capacity Estimation for Indian Energy Sector Using Energy Demand Forecasting Through Fuzzy Time Series. In: SenGupta, S., Zobaa, A., Sherpa, K., Bhoi, A. (eds) Advances in Smart Grid and Renewable Energy. Lecture Notes in Electrical Engineering, vol 435. Springer, Singapore. https://doi.org/10.1007/978-981-10-4286-7_54

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  • DOI: https://doi.org/10.1007/978-981-10-4286-7_54

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4285-0

  • Online ISBN: 978-981-10-4286-7

  • eBook Packages: EnergyEnergy (R0)

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