elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Short term cloud nowcasting for a solar power plant based on irradiance historical data

Caballero, Rafael and Zarzalejo, L.F. and Otero, Alvaro and Pinuel, Luis and Wilbert, Stefan (2018) Short term cloud nowcasting for a solar power plant based on irradiance historical data. Journal of Computer Science and Technology, 18 (3). Argentinian Universities Network with Computer Science Degree & Iberoamerican Science and Technology Education Consortium. DOI: 10.24215/16666038.18.e21 ISSN 1666-6046

[img] PDF - Published version
1MB

Official URL: http://journal.info.unlp.edu.ar/JCST/article/view/1112

Abstract

This work considers the problem of forecasting the normal solar irradiance with high spatial and temporal resolution (5 minutes). The forecasting is based on a dataset registered during one year from the high resolution radiometric network at a operational solar power plan at Almeria, Spain. In particular, we show a technique for forecasting the irradiance in the next few minutes from the irradiance values obtained on the previous hour. Our proposal employs a type of recurrent neural network known as LSTM, which can learn complex patterns and that has proven its usability for forecasting temporal series. The results show a reasonable improvement with respect to other prediction methods typically employed in the studies of temporal series.

Item URL in elib:https://elib.dlr.de/125490/
Document Type:Article
Title:Short term cloud nowcasting for a solar power plant based on irradiance historical data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Caballero, RafaelUniversity Complutense MadridUNSPECIFIED
Zarzalejo, L.F.CIEMATUNSPECIFIED
Otero, AlvaroUniversity Complutense MadridUNSPECIFIED
Pinuel, LuisUniversity Complutense MadridUNSPECIFIED
Wilbert, StefanStefan.Wilbert (at) dlr.dehttps://orcid.org/0000-0003-3573-3004
Date:12 December 2018
Journal or Publication Title:Journal of Computer Science and Technology
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:No
In ISI Web of Science:Yes
Volume:18
DOI :10.24215/16666038.18.e21
Editors:
EditorsEmail
De Giusti, ArmandoUniversidad Nacional de La Plata
Publisher:Argentinian Universities Network with Computer Science Degree & Iberoamerican Science and Technology Education Consortium
ISSN:1666-6046
Status:Published
Keywords:cloud nowcasting, GHI, LSTM, supervised machine learning
HGF - Research field:Energy
HGF - Program:Renewable Energies
HGF - Program Themes:Concentrating Solar Thermal Technology
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Impact of Desert Environment
Location: Köln-Porz
Institutes and Institutions:Institute of Solar Research > Qualification
Deposited By: Kruschinski, Anja
Deposited On:21 Dec 2018 13:44
Last Modified:14 Dec 2019 04:25

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.