Skip to main content
SpringerLink
Log in

Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques

  • Book
  • © 2016

Overview

Authors:
  1. Mrinmoy Majumder

    1. Department of Civil Engineering, 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. Department of Mathematics, 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 (7 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Introduction

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

  3. Solar Energy

    • Mrinmoy Majumder, Apu K. Saha
    Pages 5-8

  4. Multi Criteria Decision Making

    • Mrinmoy Majumder, Apu K. Saha
    Pages 9-12

  5. Artificial Neural Network

    • Mrinmoy Majumder, Apu K. Saha
    Pages 13-16

  6. Methodology

    • Mrinmoy Majumder, Apu K. Saha
    Pages 17-20

  7. Results and Discussions

    • Mrinmoy Majumder, Apu K. Saha
    Pages 21-45

  8. Conclusion

    • Mrinmoy Majumder, Apu K. Saha
    Pages 47-49
Back to top

Keywords

About this book

This Brief highlights a novel model to find out the feasibility of any location to produce solar energy. The model utilizes the latest multi-criteria decision making techniques and artificial neural networks to predict the suitability of a location to maximize allocation of available energy for producing optimal amount of electricity which will satisfy the demand from the market. According to the results of the case studies further applications are encouraged.

Authors and Affiliations

  • Department of Civil Engineering, National Institute of Technology, Agartala, India

    Mrinmoy Majumder

  • Department of Mathematics, National Institute of Technology, Agartala, India

    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