Abstract
This chapter presents a solar power modeling method using an application of the Levenberg–Marquardt (L–M) algorithm. This L–M algorithm has been adopted and incorporated into back propagation learning algorithm for training a feed-forward neural network. With this model, the photovoltaic power generation can be approximated. Meteorological data and the historical output power data of the Taiwan Chimei Island photovoltaic plant were selected for this study. The proposed model is evaluated by comparing the simulated results with the actual measured values and are found to be in good agreement.
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Information on: Taiwan Bureau of Energy, http://web3.moeaboe.gov.tw
Acknowledgement
This work was supported by the MOST of Taiwan (MOST 103-3113-E-214-002 and MOST 103-2221-E-218-016).
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Hsu, CT., Korimara, R., Tsai, LJ., Cheng, TJ. (2016). Photovoltaic Power Generation System Modeling Using an Artificial Neural Network. In: Juang, J. (eds) Proceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems (ICITES2014). Lecture Notes in Electrical Engineering, vol 345. Springer, Cham. https://doi.org/10.1007/978-3-319-17314-6_48
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DOI: https://doi.org/10.1007/978-3-319-17314-6_48
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17313-9
Online ISBN: 978-3-319-17314-6
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