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.
Inhoudsopgave
Introduction.- An Overview of Hydropower Plants.- Climate Change and Models.- Multi Criteria Decision Making.- Methodology.- Artificial Neural Networks.- Conclusions.- Result and Discussion.
Over de auteur
Dr. Mrinmoy Majumder is presently working as an Assistant Professor in the School of Hydro-Informatics Engineering at the National Institute of Technology, Agartala, India. He has published over 25 research papers in international journals and has published five books with international publishers. Dr. Apu Kumar Saha is presently working as an Assistant Professor in the Department of Mathematics at the National Institute of Technology, Agartala, India. He has published several research papers in various International Journals and conferences. He has also contributed two book chapters.
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