Grey-box modeling for photo-voltaic power systems using dynamic neural-networks

Al-Messabi, Naji and Goh, Cindy and Li, Yun (2017) Grey-box modeling for photo-voltaic power systems using dynamic neural-networks. In: 2017 Ninth Annual IEEE Green Technologies Conference (GreenTech). IEEE, Piscataway, NJ., pp. 267-270. ISBN 9781509045358

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    Abstract

    There exists various ways of modeling and forecasting photo-voltaic (PV) systems. These methods can be categorized, in board-way, under either definite equations models (white or clear-box) or heuristic data-driven artificial intelligence models (black-box). The two directions of modeling pose a number of drawbacks. To benefit from both worlds, this paper proposes a novel method where clear-box model is extended to a grey-box model by modeling uncertainities using focused time-delay neural network models. The grey-box or semi-definite model was shown to exhibit enhanced forecasting capabilities.