Solar irradiance forecast system based on geostationary satellite

Zhenzhou Peng, Shinjae Yoo, Dantong Yu, Dong Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Abstract

Solar irradiance variability, left unmitigated, will threat the stability of grid system, and might incur significant economical impacts. This paper focuses on a pipeline to predict solar irradiance from 30 minutes to 5 hours using geostationary satellite. It consists of two parts: 1) cloud motion estimation and 2) solar irradiance prediction using the estimated satellite images. The main challenge is image noise at all levels of processing from motion estimation to irradiance prediction. To overcome this problem, we propose to use optical flow motion estimation, and subsequently combine multiple evidences together using robust support vector regression (SVR). Our systematic evaluation shows significant improvements over the baseline in both motion estimation and irradiance prediction.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
Pages708-713
Number of pages6
DOIs
StatePublished - Dec 1 2013
Externally publishedYes
Event2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013 - Vancouver, BC, Canada
Duration: Oct 21 2013Oct 24 2013

Publication series

Name2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013

Other

Other2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
CountryCanada
CityVancouver, BC
Period10/21/1310/24/13

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture

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