Short-term wind power prediction based on spatial model-Reference-Cited by-同舟云学术

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Short-term wind power prediction based on spatial model

Published:2017-02 Issue: Volume:101 Page:1067-1074
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Ye Lin,Zhao Yongning,Zeng Cheng,Zhang Cihang

Funder

National Natural Science Foundation of China

State Grids Corporation of China

China Electric Power Research Institute

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference34 articles.

1. Global wind report: annual market update 2015;Sawyer,2016

2. Spatial and temporal analysis of electric wind generation intermittency and dynamics;Tarroja;Renew. Energy,2011

3. Current methods and advances in forecasting of wind power generation;Foley;Renew. Energy,2012

4. Wind energy: forecasting challenges for its operational management;Pinson;Stat. Sci.,2013

5. A novel bidirectional mechanism based on time series model for wind power forecasting;Zhao;Appl. Energy,2016

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