Exact(1)
According to Hong and Fan [3], the combination of two or three of the following component can be utilized to generate probabilistic load forecasts: creating input scenario simulation, designing probabilistic models, and transforming point forecasts to probabilistic forecasts through post-processing.
Similar(7)
The missing data, which twist the bi-scale empirical transformation, make the transformed point pattern much different from using the transformation based on the complete data.
To be specific, it is always possible to find a transformation such that the transformed point density matches exactly the optimal point density.
From this transformed point cloud, a virtual image is generated.
channels given by (40), the transformed point density function from (12) has the following form: (41).
Then, for each transformed point T k p i we query the nearest neighbour in Q.
If the source variable is subject to constraints given by vector equation, the transformed point density is given by (12).
Areal reduction factors (ARFs) are commonly used to transform point design rainfall to represent the average design rainfall for a catchment area.
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