A review on renewable energy and electricity requirement forecasting models for smart grid and buildings-Reference-Cited by-同舟云学术

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A review on renewable energy and electricity requirement forecasting models for smart grid and buildings

Published:2020-04 Issue: Volume:55 Page:102052
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Ahmad Tanveer,Zhang Hongcai,Yan Biao

Funder

Science and Technology Development Fund

Start-up Research Grant of University of Macau

Research & Development Grant for Chair Professor of University of Macau

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference355 articles.

1. Improving electric load forecasts using network committees;Abdel-Aal;Electric Power Systems Research,2005

2. Short-term wind power forecasting using wavelet-based neural network;Abhinav;Energy Procedia,2017

3. Medium-term electric load forecasting using singular value decomposition;Abu-Shikhah;Energy,2011

4. Medium-term electric load forecasting using multivariable linear and non-linear regression;Abu-Shikhah;Smart Grid and Renewable Energy,2011

5. Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment;Ahmad;Energy,2018

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