Energy forecasting in smart grid systems: recent advancements in probabilistic deep learning

journal contribution

posted on 2023-02-13, 03:01 authored by Devinder Kaur, Shama IslamShama Islam, MA Mahmud, Enamul HaqueEnamul Haque, ZY Dong

Energy forecasting in smart grid systems: recent advancements in probabilistic deep learning

History

Related Materials

1.
DOI - Is version of https://doi.org/10.1049/gtd2.12603

Language

English

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000860120300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Journal

IET Generation, Transmission and Distribution

Volume

16

Pagination

4461-4479

ISSN

1751-8687

eISSN

1751-8695

Issue

22

Publisher

INST ENGINEERING TECHNOLOGY-IET

Publication URL

http://dx.doi.org/10.1049/gtd2.12603

Usage metrics

Categories

Electrical engineering not elsewhere classified

Keywords

Science & Technology Technology Engineering, Electrical & Electronic Engineering REGRESSION NEURAL-NETWORK TIME-SERIES PREDICTION INTERVALS ELECTRICITY DEMAND METER DATA WAVELET MODEL PRICE UNCERTAINTY MARKET

Licence

All Rights Reserved

Exports