Impact of Climate Change on Hydro-Energy Potential A MCDM and Neural Network Approach /

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-e...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Majumder, Mrinmoy (Autor), Saha, Apu K. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:SpringerBriefs in Energy,
Temas:
Renewable energy sources.
Climatology.
Water.
Hydrology.
Electric power production.
Renewable Energy.
Climate Sciences.
Electrical Power Engineering.
Mechanical Power Engineering.
Acceso en línea:Texto Completo

MARC

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505 0 |a Introduction -- An Overview of Hydropower Plants -- Climate Change and Models -- Multi Criteria Decision Making -- Methodology -- Artificial Neural Networks -- Conclusions -- Result and Discussion. 
520 |a 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. 
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650 0 |a Climatology. 
650 0 |a Water. 
650 0 |a Hydrology. 
650 0 |a Electric power production. 
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650 2 4 |a Water. 
650 2 4 |a Electrical Power Engineering. 
650 2 4 |a Mechanical Power Engineering. 
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