Long-Term Wind Power Forecasting Using Tree-Based Learning Algorithms

Long-Term Wind Power Forecasting Using Tree-Based Learning Algorithms

The intermittent and uncertain nature of wind places a premium on accurate wind power forecasting for the reliable and efficient operation of power grids with large-scale wind power penetration. Herein, six-month-ahead wind power forecasting models were developed using tree-based learning algorithms...

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Bibliographic Details
Main Authors: Amirhossein Ahmadi, Mojtaba Nabipour, Behnam Mohammadi-Ivatloo, Ali Moradi Amani, Seungmin Rho, Md. Jalil Piran
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Wind energy
long-term
wind power forecasting
machine learning
regression
Online Access:https://ieeexplore.ieee.org/document/9169867/

Internet

https://ieeexplore.ieee.org/document/9169867/

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