Hybrid Energy Integration for Wind Speed Prediction

Abstract

Suwarno, Catra Indra Cahyadi, Tengku Machdhalie Sofie, Joko Arief Setiawani4 and Rini Sadiatmi

Wind energy has been widely explored and utilized as a renewable energy source. The integration of wind energy with other energy sources has been going well in strengthening current energy. However, this paper only discusses the prediction of wind speed into renewable energy by integrating based on hybrid. Combination of systems with the Successive model Variational Mode Decomposition uses the Least Squares Support Vector Machines model to obtain parts of the system with new variants. For the wind speed prediction of the system above, the RMSE and MAE models are used as validation of the tested system and the results show that the RMSE model is at a value of 1.2-32.7%, while the model with MAE is worth 2.06-40.7%.

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