Książka A Renewable Energy Selection Model for Sustainable Development VIRENDRA SINGH RANA

A Renewable Energy Selection Model for Sustainable Development

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 8-11 dni
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Achieving SDG 7, universal access to affordable, reliable, and clean energy, is vital for tackling t...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2025
strony
228
EAN
9786208437046
ISBN
6208437040
Enbook ID
50459205
Waga
312
Wymiary
152 x 229 x 13

Pełny opis

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.

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