Sentence examples for forecast approaches from inspiring English sources

Open image in new window Fig. 12 CRPS values corresponding to two probabilistic forecast approaches for three wind farms.

By now, several parametric or non-parametric approaches, e.g., the quantile regression approaches [5], the interval estimation approaches [6, 7], and the probability density forecast approaches [8, 9], have been proposed to achieve this aim.

Obviously, the sharper the forecasted distribution is, the better the probabilistic forecast approach will be, since a sharper distribution means less volatility of the forecast result.

We now know that the comet takes 133.28 years to complete a trip around the sun, and that its closest forecast approach to Earth, in 4479, will probably be uneventful.

A multi-dimensional scenario forecast approach is proposed in this paper.

Reference [13] introduced an approach to consider the temporal interdependence structure in the quantile regression based probabilistic forecast approach.

This paper presents the development of a forecast approach to manage IED networks using the IEC 61850 Standard.

In [12], a short-term joint probability density function (JPDF) forecast approach was proposed to include the temporal correlation of forecast errors into the distribution forecast results.

SBL is a parametric forecast approach which assumes that the wind power generation forecast error at each moment follows a Gaussian distribution.

A novel multi-dimensional scenario forecast approach which can capture the dynamic temporal-spatial interdependence relation among the outputs of multiple wind farms is proposed.

In this paper, a novel multi-dimensional scenario forecast approach which can capture the dynamic temporal-spatial interdependence relation among the outputs of multiple wind farms is proposed.