每年的科研成果
每年的科研成果
个人简介
与联合国可持续发展目标相关的专业知识
2015 年，联合国成员国同意 17 项可持续发展目标 (SDG)，以消除贫困、保护地球并确保全人类的繁荣。此人的工作有助于实现下列可持续发展目标：
指纹图谱
深入其中 Nan Yang 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
- 1 相似简介
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Active sensitivity coefficient-guided reinforcement learning for power grid real-time dispatching
Yang, N., Song, X., Huang, Y., Chen, L. & Yu, Y., 3月 2025, 在: Electric Power Systems Research. 240, 111267.科研成果: 期刊稿件 › 文章 › 同行评审
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A Quantitative evaluation method of new energy voltage support capability based on improved whitening weight function clustering
Chen, H., Yang, N., Mou, S., Wan, Z. & Huang, Q., 2024, 2024 5th International Conference on Power Engineering, ICPE 2024. Institute of Electrical and Electronics Engineers Inc., 页码 547-552 6 页码 (2024 5th International Conference on Power Engineering, ICPE 2024).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
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Confidence Estimation Transformer for Long-Term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching
Li, X., Yang, N., Li, Z., Huang, Y., Yuan, Z., Song, X., Li, L. & Zhang, L., 7月 2024, 在: CSEE Journal of Power and Energy Systems. 10, 4, 页码 1502-1513 12 页码科研成果: 期刊稿件 › 文章 › 同行评审
开放访问3 引用 （Scopus） -
Real-time power scheduling through reinforcement learning from demonstrations
Liu, S., Liu, J., Yang, N., Huang, Y., Jiang, Q. & Gao, Y., 10月 2024, 在: Electric Power Systems Research. 235, 110638.科研成果: 期刊稿件 › 文章 › 同行评审
1 引用 （Scopus） -
Construction Method of Power Grid Simulation Environment for Reinforcement Learning
Huang, Y., Yang, N., Jin, Y., Song, L., Ling, Z. & Wang, K., 2023, IEEE ITAIC 2023 - IEEE 11th Joint International Information Technology and Artificial Intelligence Conference. Xu, B. & Mou, K. (编辑). Institute of Electrical and Electronics Engineers Inc., 页码 542-546 5 页码 (IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
