Predicting sectoral electricity consumption based on complex network analysis-Reference-Cited by-同舟云学术

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Predicting sectoral electricity consumption based on complex network analysis

Published:2019-12 Issue: Volume:255 Page:113790
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Zhou Yang,Zhang Shuaishuai,Wu Libo,Tian Yingjie

Funder

China postdoctoral science foundation

State Grid Shanghai Municipal Electric Power Company

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference61 articles.

1. Shortest connection networks and some generalizations;Prim;Bell Syst Tech J,1957

2. Complex networks on hyperbolic surfaces;Aste;Phys Stat Mech Its Appl,2005

3. A tool for filtering information in complex systems;Tumminello;Proc Natl Acad Sci,2005

4. Forecasting electricity demand for Turkey: Modeling periodic variations and demand segregation;Yukseltan;Appl Energy,2017

5. Multiscale stochastic prediction of electricity demand in smart grids using Bayesian networks;Bassamzadeh;Appl Energy,2017

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