Experimental analysis of forecasting solar irradiance with Echo state networks and simulating annealing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099079" target="_blank" >RIV/61989100:27240/16:86099079 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-39378-0_2" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-39378-0_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-39378-0_2" target="_blank" >10.1007/978-3-319-39378-0_2</a>
Alternative languages
Result language
angličtina
Original language name
Experimental analysis of forecasting solar irradiance with Echo state networks and simulating annealing
Original language description
The solar energy is a well alternative for covering the high electrical demand, and it starts to be integrated into the energetic grid infrastructure. High forecast accuracy can help in the management of industrial strategies.We present an approach that combines the potential of a Neural Network named Echo State Networks (ESN) and a wellknown optimisation technique named Simulating Annealing (SA). We use the SA technique for selecting the meteorological variables relevant in the forecasting task and the ESN as forecasting model. We present the results evaluating our approach on a public dataset. (C) Springer International Publishing Switzerland 2016.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 9692
ISBN
978-3-319-39377-3
ISSN
0302-9743
e-ISSN
—
Number of pages
10
Pages from-to
15-24
Publisher name
Springer
Place of publication
Berlin
Event location
Zakopane
Event date
Jun 12, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—