"A spike-resilient temporal-adaptive neural framework for day-ahead electricity price interval forecasting", IEEE Transactions on Power Systems, 40, 5, 4411-4414, 2025/09, SCI
"Improving online voltage stability monitoring in smart grids: A physics-informed guided deep learning model", IEEE Transactions on Industry Applications, 61, 2, 2397-2409, 2025/03, SCI
"Online transient stability margin estimation using improved deep learning ensemble model", IEEE Transactions on Power Systems, 39, 6, 7421-7424, 2024/11, SCI
"Establishing lightweight and robust prediction models for solar power forecasting using Numerical-categorical radial basis function deep neural networks", Applied Sciences, 14, 22, 1-33, 2024/11, SCI
"Toward improved load forecasting in smart grids: a robust deep ensemble learning framework", IEEE Transactions on Smart Grid, 15, 4, 4292-4296, 2024/07, SCI
"Dynamic-Deep-Ensemble-Learning scheme for probabilistic voltage stability margin estimation to enhance resilient power grid monitoring", IEEE Transactions on Industry Applications, 60, 2, 2065-2075, 2024/03, SCI
研討會論文
"Neural Computing-Based Electricity Load Forecasting Using Convolutional Autoencoders", 2026 10th International Conference on Machine Learning and Soft Computing (ICMLSC 2026), Osaka, 2026/02/04
"An intelligent data-driven method for enhanced solar power interval forecasting based on mixture-of-deep-learning-experts", IEEE Industry Applications Society Annual Meeting (IAS), Taipei, 2025/06/15
"Bayesian optimization-enhanced deep learning model for accurate wind speed forecasting", 2025 9th International Conference on Machine Learning and Soft Computing (ICMLSC 2025), Tokyo, 2025/01/24
"An artificial intelligence-based approach for enhancing voltage stability situational awareness in clean energy-enriched smart grids", 2024 2nd International Forum on Clean Energy Engineering (FCEE2024), Tokyo, 2024/01/19
