Impact of Climate Change on Hydro-Energy Potential: A MCDM and Neural Network Approach: SpringerBriefs in Energy
Autor Mrinmoy Majumder, Apu K Sahaen Limba Engleză Paperback – 15 apr 2016
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Specificații
ISBN-10: 981287304X
Pagini: 125
Ilustrații: X, 95 p. 30 illus. in color.
Dimensiuni: 155 x 235 x 6 mm
Greutate: 0.16 kg
Ediția:1st ed. 2016
Editura: Springer Nature Singapore
Colecția Springer
Seria SpringerBriefs in Energy
Locul publicării:Singapore, Singapore
Public țintă
Professional/practitionerCuprins
Introduction.- Justification.- Climate Change and Hydro-Energy.- Objective and Scope.- Brief Methodology.- Case Studies.- Hydro-Energy.- Definition.- Type of Hydro-Energy.- Hydro-Energy Potential.- Factors of Hydro-Energy Potential.- Climate Change.- Definition.- Effects of Climate Change.- Causes of Climate Change.- Climatic Impact Studies.- Multi Criteria Decision.- Making.- Definition.- Working Principal.- Different Types of MCDM.- Applications.- Artificial Neural Network
Definition.- Working Principle Applications.- Development of Climate Change Impact Index.- Applications of MCDM.- Climate change impact Index.- Development of Neural Network Model.- Validation of the Index.- Sensitivity Analysis.- Case Studies.- Asia.- Africa.- Europe.- USA.- Latin America.- Oceania.- Result and Discussions.- Results.- MCDM Results.- ANN Results.- Case Studies.- Discussions.- Conclusion.
Notă biografică
Descriere
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.