Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Fahteem Hamamy"'
Publikováno v:
2021 IEEE International Conference in Power Engineering Application (ICPEA).
The large-scale deployment of green energy technology has led to the explosive development of photovoltaic power generation. Prediction of accurate solar irradiance is essential to ensure system efficiency and performance. The Least Square Support Ve
Autor:
Ahmad Maliki Omar, Fahteem Hamamy
Publikováno v:
APPLIED PHYSICS OF CONDENSED MATTER (APCOM 2019).
Application of support vector machine (SVM) has been widely used in regression and prediction. Accurate prediction of daily solar irradiance is important in photovoltaic power system since rapid changes in solar irradiance will easily affect the perf
Publikováno v:
International Journal on Advanced Science, Engineering and Information Technology. 6:520
Support vector machine (SVM) based on statistical learning theory has shown its advantage in regression and prediction. This paper presents the future prediction of the solar irradiance using least square support vector machine (LSSVM) which is a kin
Publikováno v:
2009 5th International Colloquium on Signal Processing & Its Applications.
In this paper, application of SVM to classify disturbances in power quality is discussed. Power system transient can pose a serious threat to the reliability of power system apparatus and sensitive loads. There are numerous causes of power system tra