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• A Novel Regression Approach for wind Speed Forecasting

  Nguyen Hoang Huy, Hoang Thi Thanh Giang

  Date Received: 20-07-2020 / Date Accepted: 08-09-2020

   Abstract PDF (VIETNAMESE)

  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.