Photovoltaic energy production forecast using support vector regression

Author:

De Leone R.,Pietrini M.,Giovannelli A.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference30 articles.

1. Aznarte J, Girard R, Espinar B, Moussa A, Kariniotakis G (2009) Forecasting functions with focus to PV prediction for microgrids. Tech. rep., project more microgrids. http://www.microgrids.eu/documents/639.pdf

2. Bacher P, Madsen H, Nielsen HA (2009) Online short-term solar power forecasting. Solar Energy 83(10):1772–1783

3. Bien T, Musikowski HD (2008) Forecasting photovoltaic energy using a fourier series based method. Engineering and system integration, pp 3088–3091

4. Chang CC, Lin CJ (2002) Training v -support vector regression: theory and algorithms. Neural Comput 14(8): 1959–1977 http://dblp.uni-trier.de/db/journals/neco/neco14.html#ChangL02

5. Chang CC, Lin CJ (2011) LIBSVM: A library for support vector machines. ACM Trans Intell Syst Technol 2: 1–27. Software http://www.csie.ntu.edu.tw/~cjlin/libsvm

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