IEEE/ICACT20230158 Slide.06        [Big Slide]       [YouTube] Oral Presentation
LGBM is a gradient boosting framework that uses the decision tree algorithm among various machine learning algorithms. The leaf-wise tree structure has the advantage of reducing losses compared to the level-wise tree structure and increasing accuracy while learning at high speed. In this paper develops a PV power generation and power load amount forecasting model using LSTM and LGBM by reflecting an appropriate time variable.

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