Publication:
Forecasting of Photovoltaic Power by Means of Non-Linear Auto-Regressive Exogenous Artificial Neural Network and Time Series Analysis

Simple item page
dc.contributor.authorLouzazni, Mohamed
dc.contributor.authorMosalam, Heba
dc.contributor.authorCotfas, Daniel Tudor
dc.date.accessioned2025-09-18T20:03:29Z
dc.date.issued2021-08-13
dc.description.abstract
dc.identifier.doi10.3390/electronics10161953
dc.identifier.issn2079-9292
dc.identifier.urihttps://repository.unitbv.ro/handle/123456789/1675
dc.publisherMDPI AG
dc.relation.ispartofElectronics
dc.titleForecasting of Photovoltaic Power by Means of Non-Linear Auto-Regressive Exogenous Artificial Neural Network and Time Series Analysis
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue16
oaire.citation.volume10

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Forecasting of Photovoltaic Power by Means of Non-Linear Auto-Regressive Exogenous Artificial Neural Network and Time Series Analysis.pdf
Size:
3.61 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.35 KB
Format:
Item-specific license agreed to upon submission
Description:
Download

Collections

Departamentul de Electronică si Calculatoare