Estimating power factor of induction motors at any loading conditions using support vector regression (SVR)
نویسندگان
چکیده
منابع مشابه
Solar Power Forecasting Using Support Vector Regression
Generation and load balance is required in the economic scheduling of generating units in the smart grid. Variable energy generations particularly from wind and solar energy resources are witnessing a rapid boost, and, it is anticipated that with a certain level of their penetration, they become noteworthy sources of uncertainty. As in the case of load demand, energy forecasting can also be use...
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In this study the capabilities of an empirical regression approach for retrieving land surface soil moisture were investigated, by combining time series of ASCAT observations and in-situ data. The Support Vector Regression (SVR) is a novel technique that is utilized for establishing a direct relationship between remote sensing observations and the geophysical parameter of interest. ASCAT series...
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Abstract In recent years, renewable energies have been covering an increasing part of the worldwide electrical power demand. The additional volatility introduced to power grids by weather dependent renewable energy sources, i.e., wind and solar, makes it necessary to improve the accuracy of energy forecasts, so that the underlying electrical grid can be operated in a cost efficient way. Governm...
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ژورنال
عنوان ژورنال: Electrical Engineering
سال: 2018
ISSN: 0948-7921,1432-0487
DOI: 10.1007/s00202-018-0723-7