Mobile QR Code QR CODE : The Transactions P of the Korean Institute of Electrical Engineers
The Transactions P of the Korean Institute of Electrical Engineers

Korean Journal of Air-Conditioning and Refrigeration Engineering

ISO Journal TitleTrans. P of KIEE
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Title Development of PV Power Prediction Algorithm using Adaptive Neuro-Fuzzy Model
Authors 이대종(Lee, Dae-Jong) ; 이종필(Lee, Jong-Pil) ; 이창성(Lee, Chang-Sung) ; 임재윤(Lim, Jae-Yoon) ; 지평식(Ji, Pyeong-Shik)
DOI https://doi.org/10.5370/KIEEP.2015.64.4.246
Page pp.246-250
ISSN 1229-800X
Keywords PV power ; Prediction model ; ANFIS ; Data selection
Abstract Solar energy will be an increasingly important part of power generation because of its ubiquity abundance, and sustainability. To manage effectively solar energy to power system, it is essential part In this paper, we develop the PV power prediction algorithm using adaptive neuro-fuzzy model considering various input factors such as temperature, solar irradiance, sunshine hours, and cloudiness. To evaluate performance of the proposed model according to input factors, we performed various experiments by using real data.