A Novel Regression Approach for wind Speed Forecasting

Received: 20-07-2020

Accepted: 08-09-2020

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Issue: Vol. 19 No. 4 (2021)

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KỸ THUẬT VÀ CÔNG NGHỆ

How to Cite:

Huy, N., & Giang, H. (2024). A Novel Regression Approach for wind Speed Forecasting. Vietnam Journal of Agricultural Sciences, 19(4), 443–451. http://testtapchi.vnua.edu.vn/index.php/vjasvn/article/view/810

A Novel Regression Approach for wind Speed Forecasting

Nguyen Hoang Huy (*) 1 , Hoang Thi Thanh Giang 1

  • 1 Khoa Công nghệ thông tin, Học viện Nông nghiệp Việt Nam

    • Keywords

    Spatio-temporal data, high dimensional data, wind speed forecasting

    Abstract


    The paper presents a spatio-temporal data forecasting approach using Linear Regression (LR) in two steps called two-step LR. In the first step, all features were divided into subgroups and Linear Regressions was utilized to obtain a regression value for each feature subgroup. In the second step, Linear Regressions was applied again to these regression values to generate the final regression value. The approach using two-step LR had state-of-the-art performance for a wind speed forecasting problem. Wind speed forecasting would be useful for the integration of wind energy into the power grid because wind power generated by wind turbines has an intimate relationship with wind speed and unpredictability and variability of wind speed is one of the fundamental difficulties of this integration system.

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