Name: A Renewable Energy Selection Model for Sustainable Development (en Inglés)
SKU: 66205570
Price: 105.55 USD
Availability: InStock
Author: Rana, Virendra Singh; Singh, Ram Karan

portada A Renewable Energy Selection Model for Sustainable Development (en Inglés)

A Renewable Energy Selection Model for Sustainable Development (en Inglés)

Formato

Libro Físico

Editorial

LAP Lambert Academic Publishing

Autor

Rana, Virendra Singh; Singh, Ram Karan

Idioma

Inglés

N° páginas

228

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x1.3 cm

ISBN13

9786208437046

A Renewable Energy Selection Model for Sustainable Development (en Inglés)

Rana, Virendra Singh; Singh, Ram Karan (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "A Renewable Energy Selection Model for Sustainable Development (en Inglés)"

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.