Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia-Reference-Cited by-同舟云学术

Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia

Published:2019-10 Issue: Volume:113 Page:109293
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

AL-Musaylh Mohanad S.,Deo Ravinesh C.,Adamowski Jan F.,Li Yan

Funder

United Nations

Ministry of Higher Education and Scientific Research

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

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