2018 6th International Symposium on Digital Forensic and Security (ISDFS) 2018
DOI: 10.1109/isdfs.2018.8355383
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Analysis of the effects of different fuzzy membership functions for wind power plant installation parameters

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Cited by 3 publications
(1 citation statement)
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“…Kaiju et al (2018) developed T-S fuzzy neural network model to predict short-term photovoltaic power. Topaloğlu et al (2018) examined the effects of membership function and determined the optimal membership function for wind power plant installation. Tzimopoulos et al (2018) established fuzzy linear regression to obtain the relationship between rainfall and altitude in different meteorological stations.…”
Section: Introductionmentioning
confidence: 99%
“…Kaiju et al (2018) developed T-S fuzzy neural network model to predict short-term photovoltaic power. Topaloğlu et al (2018) examined the effects of membership function and determined the optimal membership function for wind power plant installation. Tzimopoulos et al (2018) established fuzzy linear regression to obtain the relationship between rainfall and altitude in different meteorological stations.…”
Section: Introductionmentioning
confidence: 99%