Tracked shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada A Renewable Energy Selection Model for Sustainable Development
Type
Physical Book
Publisher
Author
Language
English
Pages
228
Format
Paperback
Dimensions
22.9 x 15.2 x 1.3 cm
ISBN13
9786208437046

A Renewable Energy Selection Model for Sustainable Development

Rana, Virendra Singh; Singh, Ram Karan (Author) · LAP Lambert Academic Publishing · Paperback

A Renewable Energy Selection Model for Sustainable Development - Rana, Virendra Singh; Singh, Ram Karan

Cheaper New Book Imported to Taiwan *
Delivery: 21 Apr - 06 May Shipping: 7 to 11 business days.
NT$ 3,078
Faster New Book Imported to Taiwan *
Delivery: 15 Apr - 23 Apr Shipping: 3 to 4 business days.
NT$ 3,758
NT$ 3,078
Delivery to any Taiwan address between Tuesday, April 21 and Wednesday, May 06
Origin: United Kingdom Import costs included in the price ✅
Delivery to any Taiwan address between Tuesday, April 21 and Wednesday, May 06.
Origin: United Kingdom Import costs included in the price ✅
Delivery to any Taiwan address between Wednesday, April 15 and Thursday, April 23.

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "A Renewable Energy Selection Model for Sustainable Development"

Achieving SDG 7, universal access to affordable, reliable, and clean energy, is vital for tackling the energy crisis and ensuring sustainable development. In Uttarakhand, despite rich renewable potential, energy access is hindered by challenging terrain, ecological sensitivity, and infrastructure gaps. This research proposes a hybrid decision-making framework combining Machine Learning (ML) with Hesitant Fuzzy Multi-Criteria Decision-Making (MCDM) to identify the best renewable energy options for the region. Five alternatives, solar PV, solar thermal, CSP, mini & small hydropower, and bioenergy, were chosen based on resources and expert input. Using bibliometric analysis in R and the Nominal Group Technique (NGT), criteria were set. The Hesitant Fuzzy AHP assigned weights, while H-FTOPSIS ranked options. Logistic regression enhanced prediction accuracy, and sensitivity analysis tested model stability. Results show solar PV as the most viable choice. The framework supports strategic, evidence-based energy planning for Uttarakhand and offers a scalable, adaptable method for similar regions worldwide.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews