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Record Nr. |
UNINA9910253984103321 |
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Autore |
Majumder Mrinmoy |
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Titolo |
Impact of Climate Change on Hydro-Energy Potential : A MCDM and Neural Network Approach / / by Mrinmoy Majumder, Apu K Saha |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (101 p.) |
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Collana |
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SpringerBriefs in Energy, , 2191-5539 |
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Disciplina |
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Soggetti |
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Renewable energy sources |
Climatology |
Water |
Hydrology |
Electric power production |
Renewable Energy |
Climate Sciences |
Electrical Power Engineering |
Mechanical Power Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Introduction -- An Overview of Hydropower Plants -- Climate Change and Models -- Multi Criteria Decision Making -- Methodology -- Artificial Neural Networks -- Conclusions -- Result and Discussion. |
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Sommario/riassunto |
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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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