Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm
Author:
Affiliation:
1. Department of Information Engineering, Chaoyang Teachers College, Chaoyang, China
Publisher
Informa UK Limited
Subject
Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/15435075.2020.1731816
Reference76 articles.
1. Forecasting of solar power ramp events: A post-processing approach
2. Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems
3. Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition
4. Wind power modeling using harmony search with a novel parameter setting approach
5. Weibull Parameters Estimation Using Four Different Methods and Most Energy-Carrying Wind Speed Analysis
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