Skip to main content
SpringerLink
Log in
Book cover

Impact of Climate Change on Hydro-Energy Potential

A MCDM and Neural Network Approach

  • Book
  • © 2016

Overview

Authors:
  1. Mrinmoy Majumder

    1. National Institute of Technology, Agartala, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Apu K. Saha

    1. National Institute of Technology, Agartala, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Energy (BRIEFSENERGY)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (8 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Introduction

    • Mrinmoy Majumder, Apu K. Saha
    Pages 1-4

  3. An Overview of Hydropower Plants

    • Mrinmoy Majumder, Apu K. Saha
    Pages 5-7

  4. Climate Change and Models

    • Mrinmoy Majumder, Apu K. Saha
    Pages 9-11

  5. Multi Criteria Decision Making

    • Mrinmoy Majumder, Apu K. Saha
    Pages 13-15

  6. Artificial Neural Networks

    • Mrinmoy Majumder, Apu K. Saha
    Pages 17-19

  7. Methodology

    • Mrinmoy Majumder, Apu K. Saha
    Pages 21-26

  8. Result and Discussion

    • Mrinmoy Majumder, Apu K. Saha
    Pages 27-92

  9. Conclusions

    • Mrinmoy Majumder, Apu K. Saha
    Pages 93-95
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • National Institute of Technology, Agartala, India

    Mrinmoy Majumder, Apu K. Saha

About the authors

Dr. Mrinmoy Majumder is presently working as an Assistant Professor in the School of Hydro-Informatics Engineering at the National Institute of Technology, Agartala, India. He has published over 25 research papers in international journals and has published five books with international publishers. Dr. Apu Kumar Saha is presently working as an Assistant Professor in the Department of Mathematics at the National Institute of Technology, Agartala, India. He has published several research papers in various International Journals and conferences. He has also contributed two book chapters.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation