no code implementations • 8 Jan 2024 • Ran Li, Haipeng Zhang, Mingyang Sun, Fei Teng, Can Wan, Salvador Pineda, Georges Kariniotakis
This paper first elaborates on the mismatch between more accurate forecasts and more optimal decisions in the power system caused by statistical-based learning (SBL) and explains how DOL resolves this problem.
no code implementations • 18 Dec 2023 • Can Wan, Yupeng Ren, Ping Ju
In this paper, a novel nonparametric stochastic analysis method of system dynamic frequency is proposed to accurately analyze the impact of renewable energy uncertainty on power system frequency security, independent of any parametric distribution assumption.
no code implementations • 13 Feb 2017 • You Lin, Ming Yang, Can Wan, Jianhui Wang, Yonghua Song
Therefore, a novel multi-model combination (MMC) approach for short-term probabilistic wind generation forecasting is proposed in this paper to exploit the advantages of different forecasting models.