Portfolio theory applied to solar and wind resources forecast-Reference-Cited by-同舟云学术

Portfolio theory applied to solar and wind resources forecast

Published:2017-05-30 Issue:7 Volume:11 Page:973-978
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Lima Marcello Anderson F.B.¹²,Carvalho Paulo C.M.¹,Carneiro Tatiane C.¹,Leite Josileudo R.³,Bessa Neto Luiz J.²,Rodrigues Géssica K.L.³,Melo Francisco E.³

Affiliation:

1. Department of Electrical EngineeringFederal University of CearáFortalezaBrazil

2. Department of Oil and GasFederal Institute of Education, Science and TechnologyTabuleiro do NorteBrazil

3. Department of Industrial MechatronicsFederal Institute of Education, Science and TechnologyLimoeiro do NorteBrazil

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2017.0006

Reference31 articles.

1. EPE ‐ Energy Research Company: ‘National energy balance 2016 – summary report’https://ben.epe.gov.br/BENRelatorioSintese.aspxaccessed 10 December2016

2. GREENPEACE – BRAZIL: ‘Energy [R]evolution: way to Brazil with 100% of renewable energies and clear’ pp. 1–96 2016

3. BRAZIL – MME/EPE: ‘10‐year energy expansion plan 2022’ 2013 pp.94–105

4. GWEC – Global Wind Energy Council: ‘Global wind statistics’ 2015. Available athttp://www.gwec.net/ accessed 10 December 2016

5. Particle Swarm Optimization method for estimation of Weibull parameters: A case study for the Brazilian northeast region

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