Dissertation

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[2] Adelino J. C. Pereira e João Tomé Saraiva. Long term impact of wind power generation in

the iberian day-ahead electricity market price. Energy, páginas 1159–1171, 2013.

 

[3] Luís Manuel Azevedo Costa. Simulação e otimização da gestão de portfólio de agentes de

mercado agregadores. master’s thesis, Faculdade de Engenharia da Universidade do Porto,

2012.

 

[4] Alexandre Costa, Antonio Crespo, Jorge Navarro, Gil Lizcano, Henrik Madsen, e Everaldo

Feitosa. A review on the young history of the wind power short-term prediction. Renewable

and Sustainable Energy Reviews, 12(6):1725–1744, 2008.

 

[5] P McSharry, P Pinson, e R Gerard. Methodology for the evaluation of probabilistic forecasts.

SafeWind Report, 2009.

 

[6] Gregor Giebel, Richard Brownsword, George Kariniotakis, Michael Denhard, e Caroline Draxl.

The state-of-the-art in short-term prediction of wind power: A literature overview.

Relatório técnico, ANEMOS. plus, 2011.

 

[7] J Mendes, RJ Bessa, H Keko, J Sumaili, V Miranda, C Ferreira, J Gama, A Botterud, Zhi

Zhou, e Jianhui Wang. Development and testing of improved statistical wind power forecasting

methods. Relatório técnico, Argonne National Laboratory (ANL), 2011.

 

[8] WGlassley, J Kleissl, C.P. "Case" van Dam, H Shiu, J Huang, G Braun, e R Holland. Appendix

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forecasts. California Renewable Energy Forecasting, Resource Data and Mapping, 2010.

 

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forecasting: state-of-the-art 2009. Relatório técnico, Argonne National Laboratory (ANL),

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[10] Matthias Lange e Ulrich Focken. Second workshop of international feed-in cooperation.

Em State-of-the-art in wind power prediction in germany and international developments,

volume 94, 2005.

 

[11] Georges Kariniotakis, Pierre Pinson, Nils Siebert, Gregor Giebel, Rebecca Barthelmie, et al.

The state of the art in short-term prediction of wind power-from an offshore perspective. Em

Proceedings of, páginas 1–13, 2004.

 

[12] Keith Parks, Yih-Huei Wan, Gerry Wiener, e Yubao Liu. Wind energy forecasting: a collaboration

of the national center for atmospheric research (ncar) and xcel energy. Contract,

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[13] Instituto Português do Mar e da Atmosfera. Enciclopédia ipma.pt - previsão numérica

do tempo, 2014. http://www.ipma.pt/pt/enciclopedia/otempo/previsao.

numerica/index.html.

 

[14] European Center for Medium-Range Weather Forecasts. Ensemble prediction system,

2012. http://www.ecmwf.int/services/dissemination/3.1/Ensemble_

Prediction_System.html.

 

[15] Xiaochen Wang, Peng Guo, e Xiaobin Huang. A review of wind power forecasting models.

Energy Procedia, páginas 770–778, 2011.

 

[16] Bruno Santos, Cláudio Monteiro, Carina Soares, João Catalão, Gerardo Osório, Juan Rojas,

Rafael Nebot Medina, Gianmaria Sannino, Adriana Carillo, Carlos González García, e

Javier Contreras Sanz. Report on the mathematical formulation of the different forecasting

models and data analysis. Relatório técnico, SiNGULAR, 2014.

 

[17] Walter Zucchini. Applied smoothing techniques, part 1: Kernel density estimation. Temple

University, Philadephia, PA, 2003.

 

[18] António dos Santos Pires. Improving electrical production forecasting using gpu. master’s

thesis, Faculdade de Engenharia da Universidade do Porto, 2013.

 

[19] Tinghui Ouyang, Xiaoming Zha, Liang Qin, et al. A survey of wind power ramp forecasting.

Energy and Power Engineering, 5(04):368, 2013.

 

[20] C Ferreira, J Gama, L Matias, A Botterud, e J Wang. A survey on wind power ramp forecasting.

Relatório técnico, Argonne National Laboratory (ANL), 2011.

 

[21] SiNGULAR. About singular, 2012. http://www.singular-fp7.eu/home/index.

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[22] Pierre Pinson. Estimation of the uncertainty in wind power forecasting. phd’s thesis, École

des Mines de Paris, 2006.

 

[23] Peng Xiong. Unit commitment under Uncertainty. Tese de doutoramento, National University

of Singapore, 2012.

 

[24] Ali Ahmadi-Khatir, Mokhtar Bozorg, e Rachid Cherkaoui. Probabilistic spinning reserve

provision model in multi-control zone power system. Power Systems, IEEE Transactions on,

28(3):2819–2829, 2013.

 

[25] Audun Botterud, Zhi Zhou, Jianhui Wang, Ricardo J Bessa, Hrvoje Keko, Joana Mendes,

Jean Sumaili, e Vladimiro Miranda. Use of wind power forecasting in operational decisions.

Argonne National Laboratory, 2011.