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Author

D. P. Wadduwage

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Conference Open access Aug 2026

Probabilistic Wind Power Forecasting using Adam-OBL Optimized DeepAR Model

A probabilistic wind power forecasting framework based on the Deep Autoregressive (DeepAR) model whose hyperparameters are selected by a proposed Adam-Opposition Based Learning optimization algorithm (Adam-OBL), which shows the effectiveness of the Adam-OBL optimized DeepAR framework.

M. D. Kumara, A. Perera, D. P. Wadduwage · 0 citations
Conference Aug 2026

Short-Term Wind Power Forecasting Using Transformer-XGBoost Hybrid Model

Accurate wind forecasting is critical to ensure stable and efficient integration of renewable energy resources in modern power systems. However, the inherent variability and non-stationarity of wind pose a significant forecasting problem for modern power system operators to ensure power system stability. A new hybrid f...

Heshan Senapriya, Sakun Rasilka, D. P. Wadduwage · 0 citations

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