Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering
Reference45 articles.
1. Ahmed-Ali, T., Kenne, G., & Lamnabhi-Lagarrigue, F. (2009). Identification of nonlinear systems with time-varying parameters using a sliding-neural network observer. Neurocomputing, 72, 1611–1620.
2. Al-Amoudi, A., & Zhang, L. (2000). Application of radial basis function networks for solar-array modelling and maximum power-point prediction. IEE Proceedings-Generation, Transmission and Distribution, 147(5), 310–316.
3. Baek, J. W., Ko, J. S., Choi, J.-S., Kang, S. J., & Chung, D. H. (2010). Maximum power point tracking control of photovoltaic system using neural network. In International conference on electrical machines and systems (ICEMS) (pp. 638–643).
4. Bekker, B., & Beukes, H. J. (2004). Finding an optimal PV panel maximum power point tracking method. In Proceedings of the 7th AFRICON conference Africa (pp. 1125–1129).
5. Bendib, B., Krim, F., Belmili, H., Almi, M. F., & Bolouma, S. (2014). An intelligent MPPT approach based on neural-network voltage estimator and fuzzy controller, applied to a stand-alone PV system. In IEEE 23rd international symposium on industrial electronics (ISIE) (pp. 404–409).
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