A combination forecasting approach applied in multistep wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm
Author:
Funder
National Social Science Foundation of China
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction
Reference48 articles.
1. National Energy Administration. The eleventh five-year plan for electric power development (2016–2020). .
2. A combined model based on data pre-analysis and weight coefficients optimization for electrical load forecasting;Xiao;Energy,2015
3. One day ahead wind speed forecasting: a resampling-based approach;Zhao;Appl Energy,2016
4. Current status and future advances for wind speed and power forecasting;Jung;Renew Sustain Energy Rev,2014
5. Combined forecasting models for wind energy forecasting: a case study in China;Xiao;Renew Sustain Energy Rev,2015
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