Impact of Climate Change on Hydro-Energy Potential

A MCDM and Neural Network Approach

  • Mrinmoy Majumder
  • Apu K. Saha

Part of the SpringerBriefs in Energy book series (BRIEFSENERGY)

Table of contents

  1. Front Matter
    Pages i-x
  2. Mrinmoy Majumder, Apu K. Saha
    Pages 1-4
  3. Mrinmoy Majumder, Apu K. Saha
    Pages 5-7
  4. Mrinmoy Majumder, Apu K. Saha
    Pages 9-11
  5. Mrinmoy Majumder, Apu K. Saha
    Pages 13-15
  6. Mrinmoy Majumder, Apu K. Saha
    Pages 17-19
  7. Mrinmoy Majumder, Apu K. Saha
    Pages 21-26
  8. Mrinmoy Majumder, Apu K. Saha
    Pages 27-92
  9. Mrinmoy Majumder, Apu K. Saha
    Pages 93-95

About this book

Introduction

This Brief presents the impact of climatic abnormalities on hydropower potential of different regions of the World. In this regard, multi-criteria decision making and neural network are used to predict the impact of the change cognitively by an index. The results from the study show that the hydro-energy potential of the Asian region is mostly vulnerable with respect to other regions of the World. The model results also encourage further application of the index to analyse the impact of climate change on potential of hydro-energy.

Keywords

Artificial Neural Networks (ANN) Climate Change Hydropower Climate Change Impact Index Green House Gases (GHG) Hydro-energy Potential Multi Criteria Decision Analysis (MCDA) Neural Networks Rainfall Patterns Hydropower

Authors and affiliations

  • Mrinmoy Majumder
    • 1
  • Apu K. Saha
    • 2
  1. 1.National Institute of TechnologyAgartalaIndia
  2. 2.National Institute of TechnologyAgartalaIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-287-305-7
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, Singapore
  • eBook Packages Energy
  • Print ISBN 978-981-287-304-0
  • Online ISBN 978-981-287-305-7
  • Series Print ISSN 2191-5520
  • Series Online ISSN 2191-5539
  • About this book
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