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Wind farm power curve modeling, which characterizes the relationship between meteorological variables and power production, is a crucial procedure for wind power forecasting. In many cases, power curve modeling is more impacted by the limited quality of input data rather than the stochastic nature of the energy conversion process. Such nature may be due the varying wind conditions, aging and state...
High-precision wind power forecasting is an essential operation issue of power systems integrated with large numbers of wind farms. In addition to traditional forecasting methods, probabilistic forecasting is recognized as an optimal forecasting solution since it provides a wealth of valuable uncertainty information of wind power. In this paper, a novel approach based on deep neural networks (DNNs)...
As wind power penetrations increase dramatically, wind power forecasting is increasingly becoming one of the fundamental strategies to coordinate wind generators together with thermal or other traditional generators in hybrid power systems. This paper focuses on very short term wind speed forecast based on historical wind speed data. The term wind pattern is proposed in this paper to characterize...
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