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F. A. Umari

Department of Electrical Engineering, Kano University of Sci.& Tech. Kano, Nigeria

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Research Article Vol. 8, Issue 2

TIME SERIES WIND SPED PREDICTION WITH ENERGY MAPPING USING HYBRID INTRINSIC MODE FUNCTION (IMF) AND EXTENDED INPUT NEURAL NETWORK (EINN)

S. M. Lawan*, W. A. W. Z. Abidin, T. Masri, F. A. Umari, A.Y. Abdullaahi, S. J. Kawu

Accurate and precise wind speed predictions are a prerequisite requirement that isnecessary before siting of wind turbines. The output power of wind energy system iscompletely depends on the behavior of wind speed; a small deviation of wind speed willlead to large energy losses. This paper presents a new technique for predicting the windspeed based...

DOI: 10.67203/zjeet.2019.y9b82liu
Sep, 2019 Vol. 8, Issue 2 6 views
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