Effect of Climate on Photovoltaic Yield Prediction Using Machine Learning Models

Year of publication

2023

Authors

Alcañiz, Alba; Lindfors, Anders V.; Zeman, Miro; Ziar, Hesan; Isabella, Olindo

Organizations and authors

Finnish Meteorological Institute

Lindfors Anders

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

Global challenges

Publisher

Wiley-VCH Verlag

Volume

Issue

Article number

2200166

Pages

1-10

ISSN

2056-6646

Publication forum

83150

Publication forum level

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

Other information

Fields of science

Physical sciences; Electronic, automation and communications engineering, electronics

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

United Kingdom

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

DOI

10.1002/gch2.202200166

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes