graphical user interface (gui) software (MathWorks Inc)
90
Structured Review
MathWorks Inc
graphical user interface (gui) software
Graphical User Interface (Gui) Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/graphical+user+interfaces+(gui)+software/pmc11348301__pnas__2410164121__sapp-178-2-3
Average 90 stars, based on 1 article reviews
Graphical User Interface (Gui) Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/graphical+user+interfaces+(gui)+software/pmc11348301__pnas__2410164121__sapp-178-2-3
Average 90 stars, based on 1 article reviews
graphical user interface (gui) software - by Bioz Stars,
2026-11
90/100 stars
Images
Related Articles
Software:Article Title: Fuzzy based prediction of wind distributed generation impact on distribution network: Case study—Banat region, Serbia Article Snippet: Fuzzy based prediction of wind distributed generation impact on distribution network: Case study—Banat region, Serbia Mileta Žarković, Darko Šošić, and Goran Dobrić Citation: J. Renewable Sustainable Energy 6, 013120 (2014); doi: 10.1063/1.4862988 View online: http://dx.doi.org/10.1063/1.4862988 View Table of Contents: http://aip.scitation.org/toc/rse/6/1 Published by the American Institute of Physics Fuzzy based prediction of wind distributed generation impact on distribution network: Case study—Banat region, Serbia Mileta Zarković,a) Darko So sić, and Goran Dobrić School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11000 Belgrade, Serbia (Received 17 July 2013; accepted 7 January 2014; published online 27 January 2014) The paper proposes the methodology for the assessment of impact that wind distributed generation can have on distribution network.. Effects of active power losses, voltage drops, and voltage total harmonic distortion are considered.. The methodology uses fuzzy logic in order to address uncertainties in wind energy generation, as well as artificial neural networks for wind speed assessment. |