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Evaluation of Machine Learning Models for Smart Grid Parameters: Performance Analysis of ARIMA and Bi-LSTM

Year of publication

2023

Authors

Chen, Yuanhua; Bhutta, Muhammad Shoaib; Abubakar, Muhammad; Xiao, Dingtian; Almasoudi, Fahad M.; Naeem, Hamad; Faheem, Muhammad

Organizations and authors

University of Vaasa

Faheem Muhammad Orcid -palvelun logo

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

Publisher

MDPI

Volume

15

Issue

11

Article number

8555

​Publication forum

71524

​Publication forum level

0

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

License of the publisher’s version

CC BY

Self-archived

Yes

License of the self-archived publication

CC BY

Other information

Fields of science

Computer and information sciences; Electronic, automation and communications engineering, electronics

Keywords

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

Publication country

Switzerland

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.3390/su15118555

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

Yes