Patent · US Active

Short term cloud forecast, improved cloud recognition and prediction and uncertainty index estimation

US10303942B2 · kind B2 · utility

0Cited by

1References

16Claims

0Family size

Assignee

Siemens Aktiengesellschaft · DE

Inventors

Ti-chiun Chang · Plainsboro, US
Jan Ernst · Plainsboro, US
Jeremy Ralph Wiles · San Diego, US
Joachim Bamberger · Stockdorf, DE
Andrei Szabo · Ottobrunn, DE

Key dates

Filing date	Feb 16, 2017
Grant date	May 28, 2019
Priority date	—
Expiry date	May 5, 2037

Classification

Technology area (CPC Y)Emerging Cross-Sectional Technologies
CPC primaryY02E10/50
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A short-term cloud forecasting system includes a cloud segmentation processor that receives image data from images captured by an all sky camera. The cloud segmentation processor calculates a probability for each pixel in an image that the pixel is representative of a cloud. A cloud motion estimation processor calculates a motion vector representing estimated cloud motion calculates weights representing the likelihood that the cloud motion will cause a cloud to occlude the sun at a time in the near future. An uncertainty processor calculates one or more uncertainty indexes that quantify the confidence that a cloud forecast is accurate. Combining the cloud probabilities, the global motion vector and the at least one uncertainty index, in a sun occlusion prediction processor produces a short-term cloud forecast based on the image data that may be used as input to control systems for controlling a power grid.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.