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Wind resource assessment based on numerical simulations and an optimized ensemble system

  • Published:2019-12 Issue: Volume:201 Page:112164
  • ISSN:0196-8904
  • Container-title:Energy Conversion and Management
  • language:en
  • Short-container-title:Energy Conversion and Management

Author:

Zhao Jing,Guo Zhenhai,Guo Yanling,Zhang Ye,Lin Wantao,Hu Jianming

Funder

National Key Research and Development Program of China

National Science Foundation for Yong Scientist of China

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference46 articles.

1. Hybrid wind speed prediction based on a self-adaptive ARIMAX model with an exogenous WRF simulation;Zhao;Energies,2016

2. Power generation and renewable potential in China;Zhao;Renew Sustain Energy Rev,2014

3. A new wind speed forecasting strategy based on the chaotic time series modelling technique and the Apriori algorithm;Guo;Energy Convers Manage,2014

4. Probability density forecasting of wind power using quantile regression neural network and kernel density estimation;He;Energy Convers Manage,2018

5. Determining suitable region wind speed probability distribution using optimal score-radar map;Miao;Energy Convers Manage,2019
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