A generalized model for short-term forecasting of solar irradiance

Conference paper (2018)

Authors

Jesus Lago

Karel De Brabandere 3E

Fjo De Ridder VITO-Energyville

B.H.K. De Schutter , Delft Center for Systems and Control

Department

Delft Center for Systems and Control

DOI: https://doi.org/10.1109/CDC.2018.8618693

Forecasting Numerical models Predictive models Computational modeling Satellites Data models Weather forecasting

To reference this document use:

http://resolver.tudelft.nl/uuid:7067624a-b8c1-474c-9a73-ceee922bac85

More Info

expand_more

Published Date

2018

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Department

Delft Center for Systems and Control

Abstract

In recent years, as the share of solar power in the electrical grid has been increasing, accurate methods for forecasting solar irradiance have become necessary to manage the electrical grid. More specifically, as solar generators are geographically dispersed, it is very important to have general models that can predict solar irradiance without the need of ground data. In this paper, we propose a novel technique that can accomplish that: using satellite images, the proposed model is able to forecast solar irradiance without the need of ground measurements. To illustrate the performance of the proposed model, we consider 15 locations in The Netherlands, and we show that the proposed model is as accurate as local models that are individually trained with ground data.

Files

08618693.pdf

(pdf | 0.481 Mb)

- Embargo expired in 21-07-2019