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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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Main Authors: Majumder, Mrinmoy. (Author, http://id.loc.gov/vocabulary/relators/aut), Saha, Apu K. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:SpringerBriefs in Energy,
Subjects:
Renewable energy resources.
Climate change.
Water-supply.
Energy systems.
Renewable and Green Energy.
Climate Change/Climate Change Impacts.
Water Industry/Water Technologies.
Energy Systems.
Online Access:https://doi.org/10.1007/978-981-287-305-7
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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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