ENGLISH

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

By Mrinmoy Majumder , Apu K. Saha (auth.)

Book information

Publisher
Springer Singapore
Year
2016
ISBN
978-981-287-304-0, 978-981-287-305-7
DOI
10.1007/978-981-287-305-7
Language
english
Format
PDF
Filesize
3 MB (3344006 bytes)
Series
SpringerBriefs in Energy
Edition
1
Pages
X, 95\101
Time added
2016-07-20 04:00:00
Renewable and Green Energy; Climate Change/Climate

Description

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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