engleski

Evaluation of probability-distribution models for wind- and net-load-power forecast error

This paper proposes several probability distribution models for wind- and net-load- power forecast error, i.e., a generalized normal model (GN) and extended skew- generalized-normal models (ESGN, SGN and SN). They are all compared to different models known from the literature (beta, Weibull and gamma). The evaluation of the discussed probability distribution models shows that the ESGN model presents better fit for probability and cumulative distribution functions.

Predictive models, Load modeling, Probability density function, Load forecasting, Probability distribution, Numerical models, Shape

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