The use of solar energy has undergone rapid development in recent years. Photovoltaic power stations (PVPS) are often used as a source of power for smart off-grid houses. Integration of this kind of energy source is challenging because it is a source of variably generated power due to meteorological uncertainty. In this paper, we present results of the short term prediction method of generated power for small PVPS based on self-organizing maps and previously introduced power profiles. © Springer International Publishing Switzerland 2014.
CITATION STYLE
Radvanský, M., Kudělka, M., & Snášel, V. (2014). Short Term Power Prediction of the Photovoltaic Power Station Based on Power Profiles. In Advances in Intelligent Systems and Computing (Vol. 303, pp. 383–393). Springer Verlag. https://doi.org/10.1007/978-3-319-08156-4_38
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