Artificial neural networks approaches for predicting the potential for hydropower generation: a case study for Amazon region-Reference-Cited by-同舟云学术

Artificial neural networks approaches for predicting the potential for hydropower generation: a case study for Amazon region

Published:2019-06-11 Issue:6 Volume:36 Page:5757-5772
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Lopes Márcio Nirlando Gomes¹,da Rocha Brígida Ramati Pereira²,Vieira Alen Costa¹,de Sá José Alberto Silva³,Rolim Pedro Alberto Moura¹,da Silva Arilson Galdino¹

Affiliation:

1. Belém Regional Center, Management and Operational Center of the Amazon Protection System, Belém, Pará, Brazil

2. Graduate Program in Electrical Engineering, Federal University of Pará, Belém, Pará, Brazil

3. Center of Natural Sciences and Technology, Pará State University, Belém, Pará, Brazil

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference56 articles.

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3. Impacts of Brazil’s Madeira River Dams: Unlearned lessons for hydroelectric development in Amazonia;Fearnside;Environ Sci Policy,2014

4. Brazil M.M.E. , (Ministry of Mines and Energy). Manual for hydropower inventory studies of river basins. 2007 Ed. Rio de Janeiro: Brazil MME. 2007.

5. Run off river plant: status and prospects;Sharma;Int J Innov Technol Explor Eng,2013

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