An artificial neural network based approach for estimating direct normal, diffuse horizontal and global horizontal irradiances using satellite images

Yehia Eissa, Prashanth Marpu, Mohamed Hosni Ghedira, Taha B.M.J. Ouarda, Matteo Chiesa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This study proposes the use of an artificial neural network approach to estimate the direct normal irradiance (DNI), diffuse horizontal irradiance (DHI) and global horizontal irradiance (GHI) at temporal and spatial resolutions of 15min and 3km, respectively. Inputs to the models are six thermal channels of the SEVIRI instrument, onboard Meteosat Second Generation, along with solar zenith angle, latitude, longitude, solar time, day number and eccentricity correction. The study will show the generalization of the results when using an ensemble approach as opposed to a single network. For all sky conditions the testing dataset for DNI estimations have relative root mean square error (rRMSE) and relative mean bias error (rMBE) values of 17.8% and -3%, respectively. Results for DHI estimations are 13.4% and +1.6%, respectively, and finally GHI estimation results show error values of 7.3% and -1.7%, respectively.

Original languageBritish English
Title of host publicationWorld Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference
Pages1897-1904
Number of pages8
StatePublished - 2012
EventWorld Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference - Denver, CO, United States
Duration: 13 May 201217 May 2012

Publication series

NameWorld Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen
Volume3

Conference

ConferenceWorld Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference
Country/TerritoryUnited States
CityDenver, CO
Period13/05/1217/05/12

Keywords

  • Neural networks
  • Satellite images
  • Solar maps
  • Solar resource assessment

Fingerprint

Dive into the research topics of 'An artificial neural network based approach for estimating direct normal, diffuse horizontal and global horizontal irradiances using satellite images'. Together they form a unique fingerprint.

Cite this