百晓学者学者目录

杨茂

现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学)

个人简介

杨茂就职于现代电力系统仿真控制与绿色电能新技术教育部重点实验室（东北电力大学），研究方向涵盖电力工业、新能源及轻工业手工业。其代表性工作包括光伏与风电功率预测、综合能源系统优化调度、新能源发电品质建模、电动汽车充电负荷预测及含高比例光伏的配电网电压控制等。

精选作品

期刊论文

  1. 崔杨，朱晗，张节潭，王茂春，赵钰婷，杨茂（2026）. 基于卫星云图与场站空间分布的光伏超短期多步功率预测. 《中国电机工程学报》.DOI
  2. 杨茂，杜茜，孙莉，王宇鑫，马成廉，刘俊良（2026）. 基于双层博弈的多区域综合能源系统协同优化运行策略. 《电力自动化设备》.DOI
  3. 孙鹏，杨茂，滕云，陈哲，王令（2026）. 基于安全强化学习和多能源惯性协调的综合能源系统优化调度. 《电工技术学报》.DOI
  4. 杨茂，代博祉，马志远，王勃，王钊，苏欣（2026）. 基于多尺度特征融合与多任务学习的短期风电功率预测方法. 《电力自动化设备》.DOI
  5. 张哲，王勃，王钊，李奕陶，杨茂，郭淼（2026）. 面向供电保障的风电集群功率时空仿孪生扩散概率预测方法. 《电力系统自动化》.
  6. 杨茂，王金鑫，朱一丹，王宇鑫，杜茜，苏欣（2026）. 基于深度强化学习的综合能源系统增量场景动态优化调度方法. 《电力自动化设备》.DOI
  7. 王勃，吴楠，杨茂，王钊，黄禹潼，苏欣，张傲（2026）. 寒潮停机感知与动态图学习驱动的风电功率日前预测方法. 《电网技术》.
  8. 朱嘉宁，王钊，李奕陶，杨茂，江任贤（2026）. 基于时空图谱聚类与时序二维化Transformer的风电集群功率多尺度融合预测方法. 《电力建设》.
  9. Mao Yang, Zhenpeng Guo, Yi-Tao Li, Da Wang, Xin Su (2026). Short-term photovoltaic power forecasting under complex meteorological conditions: a physics-driven classification and hybrid deep learning framework. International Journal of Electrical Power & Energy Systems.DOI
  10. Mao Yang, Zhenpeng Guo, Da Wang, Xin Su, Ao Zhang (2026). Photovoltaic power forecasting under complex weather considering transfer entropy causality and trend extraction. Electric power systems research.DOI
  11. Mao Yang, Zhong Wang, Da Wang, Bowen Hou, Ao Zhang (2026). STPFM: multi-step ultra-short-term PV cluster power forecasting using similar scenario reperformance. International Journal of Electrical Power & Energy Systems.DOI
  12. Mao Yang, Zhenpeng Guo, Da Wang, Bo Wang, Zhao Wang, Tao Huang (2026). Short-term photovoltaic power forecasting method considering historical information reuse and numerical weather forecasting. Renewable Energy.DOI
  13. Mao Yang, Sihan Guo, Yuxi Jiang, Xin Su, Ao Zhang, Tao Huang (2026). Scenario-robust irradiance correction with multivariate meteorological features for short-term photovoltaic power forecasting under complex weather conditions. Ocean Engineering.DOI
  14. Peng Sun, Mao Yang, Teng Yun, Zhe Chen (2026). Dynamic aggregation willingness prediction and operation decision of multi-energy virtual power plant based on graph attention and multi-agent federated reinforcement learning. International Journal of Electrical Power & Energy Systems.DOI
  15. Da Wang, Peilong Xiao, Mao Yang, Xin Zheng, Ao Zhang (2026). A short-term power forecasting method for wind farm clusters considering feature enhancement and real-time optimization of dynamic graphs. Energy.DOI
  16. Chenglian Ma, Tongyuan Sun, Zhaoliang Chen, Minhong Zhu, Mengqing Song, Dawei Huang, Mao Yang, Li Sun (2026). Methods for distribution network partitioning and hybrid time-scale voltage/var control considering photovoltaic uncertainty. Electric Power Systems Research.DOI
  17. Zhe Zhang, Bo Wang, Mao Yang, Zhao Wang, Wenxiao Zhang, Tao Huang, Xin Su (2026). Short-Term Prediction of Wind Farm Cluster Power Based on Bidirectional Interactive Fusion of Homogeneous and Heterogeneous Information. Protection and Control of Modern Power Systems.DOI
  18. Qiupeng Li, Guanyuan Li, Peng Sun, Mao Yang (2026). Multi-Time-Scale Distributionally Robust Dispatch of Hydrogen-Based Integrated Energy System Based on Wasserstein Distance. Electronics.DOI
  19. Mao Yang, Yunfeng Guo (2026). Error Correction Method of Ultra-Short-Term Prediction Based on Load Peak-Valley Characteristics for Wind Farm Cluster. CSEE Journal of Power and Energy Systems.DOI
  20. Mao Yang, Yutong Huang, Bo Wang, Chuanyu Xu, Jingsi Chen, Mahmood Hosseini Imani, Tao Huang (2026). Hierarchical Dynamic Hypergraph Learning for Ultrashort-Term Wind Farm Cluster Power Forecasting With Input-Aware Meteorological Integration Method. IEEE Transactions on Industrial Informatics.DOI
  21. Peng Sun, Mao Yang, Yun Teng, Zhe Chen (2026). Multi-energy storage inertia optimal control of multi-energy system based on model prediction-event-triggered control and frequency stability. Journal of Energy Storage.DOI
  22. 杨茂，韩超，张薇（2025）. 基于深度图聚类和特征重构的风电集群功率短期预测方法. 《电力自动化设备》.DOI
  23. 杨茂，王宇鑫，苏欣，朱一丹，王金鑫（2025）. 考虑动态平滑周期的多时间尺度综合能源系统双层滚动优化调度. 《新型电力系统》.DOI
  24. 杨茂，张书天，王勃，于欣楠（2025）. 基于混合分位数回归长短期记忆神经网络的风电功率短期区间预测. 《太阳能学报》.
  25. 杨茂，张书天，王勃，苏欣（2025）. 基于门控循环加权共形分位数回归的风电功率短期区间预测. 《中国电机工程学报》.
  26. 马成廉，李闯，黄大为，于娜，尹波，杨茂，孙黎（2025）. 基于合作博弈的高比例光伏配电网分区及无功/电压控制方法. 《电力自动化设备》.DOI
  27. 杨茂，朱一丹，于欣楠，苏欣，王宇鑫，王金鑫，刘俊良（2025）. 多时间尺度下考虑源-荷协同降碳的综合能源系统分布鲁棒低碳调度. 《电力自动化设备》.DOI
  28. 杨茂，鞠超毅，张薇，苏欣（2025）. 基于波动信息优选及切换输入机制的短期延长期风电集群功率预测. 《太阳能学报》.
  29. 马成廉，韩瑞，宋萌清，尹波，刘利则，杨茂，孙黎（2025）. 基于多源气象数据的光伏功率预测深度学习架构. 《电网与清洁能源》.
  30. 马成廉，李浩，刘翔宇，赵宇，李闯，杨茂，孙黎（2025）. 基于改进小生境MOPSO算法的主动配电网多目标灵活优化策略. 《电网与清洁能源》.DOI
  31. 杨茂，王宇鑫，苏欣，朱一丹，王金鑫（2025）. 计及电氢联产的综合能源系统日内双层优化调度. 《太阳能学报》.
  32. 杨茂，王金鑫，房国忠，朱一丹，王宇鑫，苏欣（2025）. 考虑异质户型差异与聚合构成的采暖负荷群主从博弈策略. 《电力系统自动化》.
  33. 崔杨，祝福，王议坚，黄思宇，赵钰婷，杨茂（2025）. 基于时空伪孪生网络的图深度强化学习分区电压控制策略. 《中国电机工程学报》.
  34. Mao Yang, Yu-Tong Huang, Zhao Wang, Bo Wang, Xin Su (2025). A Framework of Day-Ahead Wind Supply Power Forecasting by Risk Scenario Perception. IEEE Transactions on Sustainable Energy.DOI
  35. Mao Yang, Yu-Xi Jiang, Chuanyu Xu, Bo Wang, Zhao Wang, Xin Su (2025). Day-ahead wind farm cluster power prediction based on trend categorization and spatial information integration model. Applied Energy.DOI
  36. Mao Yang, Yu-Tong Huang, Chuanyu Xu, Chen-Yu Liu, Bo Dai (2025). Review of several key processes in wind power forecasting: Mathematical formulations, scientific problems, and logical relations. Applied Energy.DOI
  37. Mao Yang, Renxian Jiang, Xinnan Yu, Bo Wang, Xin Su, Chenglian Ma (2025). Extraction and Application of Intrinsic Predictable Component in Day-ahead Power Prediction for Wind Power Cluster. Energy.DOI
  38. Mao Yang, Renxian Jiang, Bo Wang, Guozhong Fang, Yun-Peng Jia, Fulin Fan (2025). Multi-channel Attention Mechanism Graph Convolutional Network Considering Cumulative Effect and Temporal Causality for Day-ahead Wind Power Prediction. Energy.DOI
  39. Mao Yang, Jiajun Niu, Bo Wang, Dawei Huang, Xin Su, Chenglian Ma (2025). FDCA-DSTGCN: A Wind Farm Cluster Power Day-Ahead Prediction Model Based on Frequency Domain Information Gain and Dynamic Trend Sensing. IEEE Transactions on Sustainable Energy.DOI
  40. Mao Yang, Yue Jiang, Yunfeng Guo, Xin Su, Yi Li, Tao Huang (2025). Ultra-short-term prediction of photovoltaic cluster power based on spatiotemporal convergence effect and spatiotemporal dynamic graph attention network. Renewable Energy.DOI
  41. Wei Zhang, Hang Sun, Jiyuan Gao, Gangui Yan, Mao Yang (2025). A Two-Stage Ultra-Short-Term Wind Power Forecasting Method Based on Transitional Weather Identification and Meteorological Prediction Error Propagation. IEEE Transactions on Sustainable Energy.DOI
  42. Mao Yang, Wencheng Li, Peng Sun, Xin Su, Tao Huang, Tianyu Zheng (2025). Charging‐Load Prediction for Electric Vehicle Stations Using Correlation Analysis and RIME‐CNN‐LSTM‐Attention Model. IET Generation Transmission & Distribution.DOI
  43. Mao Yang, Renxian Jiang, Jianfeng Che, Wei Xu, Wei He, Kang Wu (2025). A Short-Term Power Prediction Model for Wind Farm Clusters with Embedded Cold-Wave Identification Module. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  44. Mao Yang, Bozhi Dai, Zhiyuan Ma, Yitao Li, Jingsi Chen, Jun Yin (2025). Short-term Wind Power Cluster Prediction Method Based on Multi-Spatial-Scale Features. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  45. Jianbin Li, Peng Sun, Mao Yang, Yitao Li, Hai-Tao Zheng, Shengxue Qi (2025). Leader-follower game optimal scheduling of integrated energy system considering stepped carbon trading. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  46. Mao Yang, Mingyang Qi, Yitao Li (2025). Short-Term Photovoltaic Power Prediction Model Based on Weather Classification and Improved Informer. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  47. Hui Wang, Jia-Zheng Ge, Yitao Li, Mao Yang, Peng Sun (2025). Research on Rolling Optimization Scheduling Strategies for Multi-Energy Flow Multi-Microgrids under Resource Sharing. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  48. Mao Yang, Saiyale Abudulijiang, Yitao Li, Aliya Arkin, Yuxi Jiang (2025). Wind power prediction method based on multi-step decomposition weighted feature construction. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  49. Hangyu Zhou, Peng Sun, Mao Yang, Yitao Li, Yi Chai (2025). Research on optimal configuration of energy storage in new power system based on deep reinforcement learning. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  50. Mao Yang, Yuxi Jiang, Jianfeng Che, Wei Xu, Wei He, Kang Wu (2025). Day-ahead Photovoltaic Station Cluster Power Prediction Considering Sudden Weather Information. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  51. Guanyuan Li, Mao Yang, Yitao Li, Peng Sun, Jianyu Geng (2025). Research on Optimal Scheduling of Wind-Solar-Hydrogen Storage Multi-Energy Complementary Microgrid Based on Improved Adaptive Lyapunov Hybrid Particle Swarm Optimization. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  52. Ce Wang, Peng Sun, Mao Yang, Yitao Li, Yi Chai (2025). Optimal long-term scheduling of integrated energy system considering carbon emissions. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  53. Mao Yang, Xiangyu Li, Zifen Han, Yong Sun, Xiqiang Chang (2025). Ultra-Short-Term Multi-Step Prediction of Wind Power Fusing Multivariate Time-Series Relationships and Multi-Task Correction. IEEE Transactions on Industry Applications.DOI
  54. 马成廉，赵宇，宋萌清，李浩，曾繁军，尹波，刘利则，杨茂，孙黎（2024）. 基于新能源发电品质量化与负荷时序匹配的功率品质划分模型研究. 《东北电力大学学报》.
  55. 孙亮，申畅，朱童生，杨格林，杨茂，孙艳学（2024）. 考虑交通流量俘获的电动汽车充电负荷预测和充电站规划. 《电力自动化设备》.DOI
  56. 黄大为，殷航，曹旭东，杨茂（2024）. 计及源-荷不确定性的屋顶集成光储系统容量配置. 《太阳能学报》.
  57. 杨茂，孟庆虎，王勃（2024）. 基于电量-功率的多模态映射的长预见期光伏集群功率预测. 《电力自动化设备》.
  58. 杨茂，杨明（2024）. 高比例新能源电力系统功率预测及优化运行技术. 《东北电力大学学报》.
  59. 马成廉，李闯，薛冰，杨劲松，刘利则，杨茂，孙黎（2024）. 含高比例光伏配电网分区电压协调控制策略. 《东北电力大学学报》.
  60. 李凤名，车润棋，杨茂（2024）. 风电功率超短期多步预测误差评估及分析. 《昆明理工大学学报(自然科学版)》.
  61. Mao Yang, Xiangyu Li, Fu-Lin Fan, Bo Wang, Xin Su, Chenglian Ma (2024). Two-stage Day-ahead Multi-step Prediction of Wind Power Considering Time-series Information Interaction. Energy.DOI
  62. Mao Yang, Yunfeng Guo, Tao Huang, Fulin Fan, Chenglian Ma, Guozhong Fang (2024). Wind farm cluster power prediction based on graph deviation attention network with learnable graph structure and dynamic error correction during load peak and valley periods. Energy.DOI
  63. Mao Yang, Yiming Chen, Guozhong Fang, Chenglian Ma, Yun-Jing Liu, Jinxin Wang (2024). A Short-Term Power Load Forecasting Method Based on SBOA–SVMD-TCN–BiLSTM. Electronics.DOI
  64. Mao Yang, Jinxin Wang, Yiming Chen, Yuxuan Zeng, Xin Su (2024). Data-driven robust optimization scheduling for microgrid day-ahead to intra-day operations based on renewable energy interval prediction. Energy.DOI
  65. Hui Wang, Zhuanqin Zhang, Li Sun, Mao Yang, Peng Fei Sun, Jinxin Wang (2024). Adaptive Control Strategy of Parallel Virtual Synchronizer of Wind–Solar–Storage Microgrid Based on Neural Network. Electronics.DOI
  66. Da Wang, Mao Yang, Wei Zhang, Chenglian Ma, Xin Su (2024). Short-term power prediction method of wind farm cluster based on deep spatiotemporal correlation mining. Applied Energy.DOI
  67. Wei Zhang, Hongyi Zhan, Hang Sun, Mao Yang (2024). Probabilistic load forecasting for integrated energy systems based on quantile regression patch time series Transformer. Energy Reports.DOI
  68. Yupeng Sun, Mao Yang, Chenglian Ma, Yunpeng Jia, Guozhong Fang (2024). Refined power modeling method of ultra-short-term wind power cluster based on power reverse deduction. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  69. Xiangyu Li, Mao Yang, Li Sun, Yunpeng Jia, Guozhong Fang (2024). Ultra-short-term Multi-step Prediction of Wind Power based on iHHT and TSLANet. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  70. Mao Yang, Da Wang, Wei Zhang, Xinnan Yv (2024). A centralized power prediction method for large-scale wind power clusters based on dynamic graph neural network. Energy.DOI
  71. Wei Zhang, Wei Zhang, Yi Cai, Hongyi Zhan, Mao Yang, Wei Zhang, Wei Zhang (2024). Multi-energy load forecasting for small-sample integrated energy systems based on neural network Gaussian process and multi-task learning. Energy Conversion and Management.DOI
  72. Mao Yang, Chaoyi Ju, Yutong Huang, Yunfeng Guo, Mengqi Jia (2024). Short-Term Power Forecasting of Wind Farm Cluster Based on Global Information Adaptive Perceptual Graph Convolution Network. IEEE Transactions on Sustainable Energy.DOI
  73. Mao Yang, Yue Wen Jiang, Jianfeng Che, Zifen Han, Qingquan Lv (2024). Short-Term Forecasting of Wind Power Based on Error Traceability and Numerical Weather Prediction Wind Speed Correction. Electronics.DOI
  74. Mao Yang, Chao Han, Wei Zhang, Bo Wang (2024). A short-term power prediction method for wind farm cluster based on the fusion of multi-source spatiotemporal feature information. Energy.DOI
  75. Mao Yang, Yutong Huang, Yunfeng Guo, Wei Zhang, Bo Wang (2024). Ultra-short-term wind farm cluster power prediction based on FC-GCN and trend-aware switching mechanism. Energy.DOI
  76. Nan Wu, Mao Yang, Chenglian Ma, Yunpeng Jia, Guozhong Fang (2024). Short-term Power Prediction of Wind Power Cluster Based on KOA-PLE. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  77. Mao Yang, Yunfeng Guo, Tao Huang, Wei Zhang (2024). Power prediction considering NWP wind speed error tolerability: A strategy to improve the accuracy of short-term wind power prediction under wind speed offset scenarios. Applied Energy.DOI
  78. Mao Yang, Xiangyu Li, Zifen Han, Yong Sun, Xiqiang Chang (2024). Ultra-Short-Term Multi-Step Prediction of Wind Power Based on ModernTCN and Multi-Task Learning.DOI
  79. Mao Yang, Yunfeng Guo, Fulin Fan (2024). Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain. IEEE Transactions on Sustainable Energy.DOI
  80. Mao Yang, Yunfeng Guo, Fulin Fan, Tao Huang (2024). Two-stage correction prediction of wind power based on numerical weather prediction wind speed superposition correction and improved clustering. Energy.DOI
  81. 杨茂，崔宇，马苗苗，顾大可，黄大为，苏欣（2023）. 考虑时间差异性的综合能源系统多层协调优化调度. 《可再生能源》.DOI
  82. 杨皓然，杨茂，苏欣（2023）. 计及预测误差时空-条件相依特性的日内光伏出力区间预测方法. 《南方电网技术》.
  83. 徐伟航，杨茂，孙莉（2023）. 利用电化学储能追踪风电预测曲线的风储联合调度经济性分析. 《南方电网技术》.
  84. 李一，杨茂，苏欣（2023）. 基于集成聚类及改进马尔科夫链模型的光伏功率短期预测. 《南方电网技术》.
  85. 杨茂，闫琦，苏欣，周茉，姜林，田圃晟（2023）. 季节分型下一种面向风电功率日前预测的深度自适应滤波框架. 《南方电网技术》.
  86. 胡文慧，苏欣，姜林，郭长星，杨茂（2023）. 考虑预测误差时空相依性的短期风电功率概率预测. 《南方电网技术》.
  87. Mao Yang, Tiancheng Wang, Xiaobin Zhang, Wei Zhang, Bo Wang (2023). Considering dynamic perception of fluctuation trend for long-foresight-term wind power prediction. Energy.DOI
  88. Mao Yang, Da Wang, Wei Zhang (2023). A novel ultra short-term wind power prediction model based on double model coordination switching mechanism. Energy.DOI
  89. Mao Yang, Yunfeng Guo, Bo Wang, Zhao Wang (2023). Short-Term Prediction of Wind Farm Cluster Power Based on Load Risk Scenarios and Improved Weighted Loss During Peak and Valley Load Periods. IEEE Conference on Energy Internet and Energy System Integration (EI2).DOI
  90. Da Wang, Mao Yang, Wei Zhang (2023). Wind Power Group Prediction Model Based on Multi-Task Learning. Electronics.DOI
  91. Mao Yang, Yunfeng Guo, Yutong Huang (2023). Wind power ultra-short-term prediction method based on NWP wind speed correction and double clustering division of transitional weather process. Energy.DOI
  92. Mao Yang, Da Wang, Wei Zhang (2023). A short-term wind power prediction method based on dynamic and static feature fusion mining. Energy.DOI
  93. XiJin Yang, Y. Shi, F. Li, BaiQin Feng, Jia‐Hui Zhao, Mao Yang (2023). A wind-fire-storage optimal scheduling method considering the combination of stepped carbon trading and energy storage mileage function. IEEE International Electrical and Energy Conference (CIEEC).DOI
  94. Mao Yang, Da Wang, Chuanyu Xu, Bozhi Dai, Miaomiao Ma, Xin Su (2023). Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting. Renewable Energy.DOI
  95. Gang Mu, Yibo Zhou, Mao Yang, Jiahao Chen (2023). A Diagnosis Method of Power Flow Convergence Failure for Bulk Power Systems Based on Intermediate Iteration Data. Energies.DOI
  96. Bo Wang, Tiancheng Wang, Mao Yang, Chao Han, Dawei Huang, Da‐Ke Gu (2023). Ultra-Short-Term Prediction Method of Wind Power for Massive Wind Power Clusters Based on Feature Mining of Spatiotemporal Correlation. Energies.DOI
  97. Mao Yang, Dongxu Liu, Xin Su, Jinxin Wang, Yu Cui (2023). Ultra-short-term load prediction of integrated energy system based on load similar fluctuation set classification. Frontiers in Energy Research.DOI
  98. Xiqiang Chang, Hao Cui, Mao Yang (2023). Non-intrusive load decomposition algorithm based on temporal convolutional network and long short-term memory model combined with strongly correlated power sequences. Energy Reports.DOI
  99. 杨茂，申晓璇，顾大可，黄大为（2022）. 基于短波辐射修正的光伏超短期出力预测. 《东北电力大学学报》.
  100. 马苗苗，刘立成，王鑫，杨茂（2022）. 风光发电与新能源汽车协同优化调度策略. 《吉林大学学报(工学版)》.
  101. 杨茂，于欣楠（2022）. 考虑风电场功率爬坡的超短期组合预测. 《东北电力大学学报》.
  102. Mao Yang, Qi Yan, Bozhi Dai, Xinxin Chen, Miaomiao Ma, Xin Su (2022). An improved spatial upscaling method for producing day‐ahead power forecasts for wind farm clusters. IET Generation Transmission & Distribution.DOI
  103. Mao Yang, Meng Zhao, Dawei Huang, Xin Su (2022). A composite framework for photovoltaic day-ahead power prediction based on dual clustering of dynamic time warping distance and deep autoencoder. Renewable Energy.DOI
  104. Yong Sun, Yutong Huang, Mao Yang (2022). Ultra-Short-Term Wind Power Interval Prediction Based on Fluctuating Process Partitioning and Quantile Regression Forest. Frontiers in Energy Research.DOI
  105. Mao Yang, Yu Cui, Dawei Huang, Xin Su, Gang Wu (2022). Multi-time-scale coordinated optimal scheduling of integrated energy system considering frequency out-of-limit interval. International Journal of Electrical Power & Energy Systems.DOI
  106. Mao Yang, Yu Cui, Jinxin Wang (2022). Multi-Objective optimal scheduling of island microgrids considering the uncertainty of renewable energy output. International Journal of Electrical Power & Energy Systems.DOI
  107. Fangze Wu, Mao Yang, Chaoyu Shi (2022). Short-Term Prediction of Wind Power Considering the Fusion of Multiple Spatial and Temporal Correlation Features. Frontiers in Energy Research.DOI
  108. 杨茂，冯帆（2021）. 基于马氏距离相似度量的光伏功率超短期预测方法的研究. 《可再生能源》.DOI
  109. 杨茂，王凯旋（2021）. 基于MRMR的光伏出力匹配方法研究及预测应用. 《可再生能源》.DOI
  110. 杨茂，王金鑫（2021）. 考虑可再生能源出力不确定的孤岛型微电网优化调度. 《中国电机工程学报》.DOI
  111. 杨茂，白玉莹（2021）. 测风塔异常风速数据识别与补齐方法研究. 《可再生能源》.
  112. Mao Yang, Tian Peng, Xin Su, Miaomiao Ma (2021). Short-Term Photovoltaic Power Interval Prediction Based on the Improved Generalized Error Mixture Distribution and Wavelet Packet -LSSVM. Frontiers in Energy Research.DOI
  113. Mao Yang, Meng Ya Zhao, Dingze Liu, Miaomiao Ma, Xin Su (2021). Improved Random Forest Method for Ultra-short-term Prediction of the Output Power of a Photovoltaic Cluster. Frontiers in Energy Research.DOI
  114. Mao Yang, Kaixuan Wang, Yang Cui, Fan Feng, Xin Su, Chenglian Ma (2021). Investigating the Predictability of Photovoltaic Power Using Approximate Entropy. Frontiers in Energy Research.DOI
  115. Mao Yang, Bozhi Dai, Jinxin Wang, Xinxin Chen, Yong Sun, Baoju Li (2021). Day‐ahead wind power combination forecasting based on corrected numerical weather prediction and entropy method. IET Renewable Power Generation.DOI
  116. Yong Sun, Zhenyuan Li, Chaoyu Shi, Baoju Li, Mao Yang (2021). Probabilistic prediction of short term wind power considering temporal and spatial dependence of prediction error. E3S Web of Conferences.DOI
  117. 杨茂，杨琼琼，苏欣（2020）. 基于风电场等效平均风速的风电功率日前预测研究. 《太阳能学报》.
  118. 杨茂，张罗宾，崔杨，杨琼琼，黄宾阳（2020）. 基于混合半云模型的风速-功率曲线建模方法. 《电力自动化设备》.DOI
  119. 杨茂，朱亮（2020）. 基于非参数估计的光伏功率短期预测误差分析. 《电网与清洁能源》.
  120. 杨茂，董昊（2020）. 基于风速分频和权值匹配的RBF超短期风电功率预测方法. 《可再生能源》.DOI
  121. 杨茂，王金鑫（2020）. 需求侧管理参与的孤岛型微电网多目标优化调度. 《电网与清洁能源》.
  122. 杨茂，刘慧宇，孙勇，李宝聚（2020）. 基于原子稀疏分解和支持向量机的风电功率实时预测研究. 《东北电力大学学报》.DOI
  123. 杨茂，代博祉，刘蕾（2020）. 风电功率概率预测研究综述. 《东北电力大学学报》.DOI
  124. Mao Yang, Chaoyu Shi, Huiyu Liu (2020). Day-ahead wind power forecasting based on the clustering of equivalent power curves. Energy.DOI
  125. Mao Yang, Dingze Liu, Yang Cui, Xin Huang, Gangui Yan (2020). Research on complementary algorithm of photovoltaic power missing data based on improved cloud model. International Transactions on Electrical Energy Systems.DOI
  126. Yong Sun, Zhenyuan Li, Xinnan Yu, Baoju Li, Mao Yang (2020). Research on Ultra-Short-Term Wind Power Prediction Considering Source Relevance. IEEE Access.DOI
  127. Mao Yang, Li Sun, Jinxin Wang (2020). Multi-Objective Optimization Scheduling Considering the Operation Performance of Islanded Microgrid. IEEE Access.DOI
  128. 杨茂，杨春霖，杨琼琼，苏欣（2019）. 计及风向信息的风电功率异常数据识别研究. 《太阳能学报》.DOI
  129. 杨茂，朱亮（2019）. 基于FA-PCA-LSTM的光伏发电短期功率预测. 《昆明理工大学学报(自然科学版)》.DOI
  130. 杨茂，王金鑫，都键（2019）. 基于极限学习机与格兰杰检验的风电功率缺失数据补齐. 《东北电力大学学报》.DOI
  131. 杨茂，陈郁林（2019）. 风电功率波动特性定量刻画及应用研究. 《太阳能学报》.DOI
  132. 杨茂，杨春霖，董骏城（2019）. 基于预测误差分布优化模型的风电功率超短期概率区间预测研究. 《太阳能学报》.DOI
  133. 杨茂，马剑，李大勇，苏欣，孙涌（2019）. 基于熵权综合关联度数据挖掘的风电功率实时预测研究. 《太阳能学报》.DOI
  134. 杨茂，杨宇（2019）. 基于小波包与LSSVM的短期光伏输出功率预测研究. 《可再生能源》.DOI
  135. 杨茂，周宜（2019）. 计及风电场状态的风电功率超短期预测. 《中国电机工程学报》.DOI
  136. Mao Yang, Luobin Zhang, Yang Cui, Qiongqiong Yang, Binyang Huang (2019). The impact of wind field spatial heterogeneity and variability on short-term wind power forecast errors. Journal of Renewable and Sustainable Energy.DOI
  137. Mao Yang, Jinxin Wang, Jun An (2019). Day-Ahead Optimization Scheduling for Islanded Microgrid Considering Units Frequency Regulation Characteristics and Demand Response. IEEE Access.DOI
  138. Mao Yang, Meng Lingjian (2019). Short‐term photovoltaic power dynamic weighted combination forecasting based on least squares method. IEEJ Transactions on Electrical and Electronic Engineering.DOI
  139. Mao Yang, Luobin Zhang, Yang Cui, Yi Zhou, Yulin Chen, Gangui Yan (2019). Investigating the Wind Power Smoothing Effect Using Set Pair Analysis. IEEE Transactions on Sustainable Energy.DOI
  140. 杨茂，杨春霖，李大勇，苏欣（2018）. 基于局部极差变化率的风电功率波动定量刻画. 《电力自动化设备》.DOI
  141. 杨茂，刘红柳，季本明（2018）. 风电功率混沌特性的时空分布研究. 《太阳能学报》.
  142. 杨茂，陈郁林，魏治成（2018）. 基于EEMD去噪和集对理论的风功率实时预测研究. 《太阳能学报》.
  143. 杨茂，张强（2018）. 风电功率超短期预测误差的非参数估计分布研究. 《东北电力大学学报》.
  144. 杨茂，黄鑫，苏欣（2018）. 基于ANFIS的光伏输出功率超短期预测方法研究. 《东北电力大学学报》.
  145. 杨茂，杨春霖（2018）. 考虑风向的风电功率预测不确定性研究. 《东北电力大学学报》.
  146. 杨茂，杨琼琼（2018）. 风电机组风速-功率特性曲线建模研究综述. 《电力自动化设备》.
  147. 杨茂，杨春霖，董骏城，袁文强，刘石（2018）. 基于Copula理论的风电功率条件预测误差短期概率分布估计. 《可再生能源》.DOI
  148. 杨茂，杨琼琼（2018）. 基于云分段最优熵算法的风电机组异常数据识别研究. 《中国电机工程学报》.
  149. 杨茂，王少帅，李大勇，苏欣，孙涌，贾云彭（2018）. 全寿命周期下考虑环境效益的集中式光伏发电成本-效益分析. 《东北电力大学学报》.
  150. 杨茂，孟玲建，李大勇，苏欣，崔杨（2018）. 基于类3σ准则的光伏功率异常数据识别. 《可再生能源》.
  151. Mao Yang, Lei Liu, Yang Cui, Xin Su (2018). Ultra-Short-Term Multistep Prediction of Wind Power Based on Representative Unit Method. Mathematical Problems in Engineering.DOI
  152. Mao Yang, Xinxin Chen, Binyang Huang (2018). Ultra-short-term multi-step wind power prediction based on fractal scaling factor transformation. Journal of Renewable and Sustainable Energy.DOI
  153. Mao Yang, Xin Huang (2018). Ultra-Short-Term Prediction of Photovoltaic Power Based on Periodic Extraction of PV Energy and LSH Algorithm. IEEE Access.DOI
  154. Mao Yang, Xinxin Chen, Jian Du, Yang Cui (2018). Ultra-Short-Term Multistep Wind Power Prediction Based on Improved EMD and Reconstruction Method Using Run-Length Analysis. IEEE Access.DOI
  155. Mao Yang, Xin Huang (2018). An Evaluation Method of the Photovoltaic Power Prediction Quality. Mathematical Problems in Engineering.DOI
  156. 杨茂，杜刚（2017）. 基于t Location-Scale分布的风电功率概率预测研究. 《中国电力》.
  157. 杨茂，江博（2017）. 风电功率弃风数据特征识别方法研究. 《中国电力》.
  158. 杨茂，张强（2017）. 基于最大相关最小冗余相关向量机的风电功率缺失数据补齐研究. 《太阳能学报》.
  159. 杨茂，杨春霖（2017）. 基于模糊粒计算的风电功率实时预测研究. 《东北电力大学学报》.
  160. 杨茂，都键，李大勇，孙涌，贾云彭（2017）. 基于集对分析聚类法的超短期风电功率区间预测. 《可再生能源》.
  161. 杨茂，黄宾阳，江博，林思思（2017）. 基于卡尔曼滤波和支持向量机的风电功率实时预测研究. 《东北电力大学学报》.
  162. 杨茂，陈新鑫，张强，李大勇，孙涌，贾云彭（2017）. 基于支持向量机的短期风速预测研究综述. 《东北电力大学学报》.
  163. 杨茂，孟玲建，李大勇，苏欣，孙涌，贾云彭（2017）. 基于混合t Location-Scale分布模型的光伏功率随机性分量波动性分析. 《可再生能源》.
  164. 杨茂，黄宾阳（2017）. 基于灰色缓冲算子-卡尔曼滤波双修正的风电功率实时预测研究. 《可再生能源》.
  165. 杨茂，江博，熊昊，葛延峰，金鹏（2017）. 基于集对理论的风电场内功率汇聚特性分析. 《太阳能学报》.
  166. 杨茂，刘红柳（2017）. 超短期风电功率爬坡事件对风电功率实时预测误差的影响研究. 《太阳能学报》.
  167. 刘红柳，杨茂（2016）. 基于小波变换和支持向量机的风电功率爬坡事件识别与预测. 《东北电力大学学报》.
  168. 杨茂，张强（2016）. 基于相关向量机的风电功率实时预测研究. 《中国电力》.
  169. 杨茂，董骏城（2016）. 一种多输出模型的风电功率超短期预测方法. 《中国电力》.
  170. 杨茂，陈郁林（2016）. 基于秩次集对分析的风电功率实时预测研究. 《太阳能学报》.
  171. 杨茂，董骏城（2016）. 基于混合高斯分布的风电功率实时预测误差分析. 《太阳能学报》.
  172. 杨茂，季本明（2016）. 基于风电功率周期特性的组合预测研究. 《太阳能学报》.
  173. 杨茂，董骏城，齐玥（2016）. 基于近似熵的风电功率可预测性研究. 《太阳能学报》.
  174. 杨茂，季本明（2016）. 基于最大Lyapunov指数-校正的风电功率实时预测研究. 《太阳能学报》.
  175. 杨茂，张强（2016）. 基于不确定相关向量机的风电功率实时预测. 《太阳能学报》.
  176. 杨茂，董骏城（2016）. 基于混合分布模型的风电功率波动特性研究. 《中国电机工程学报》.
  177. 杨茂，张强（2016）. 基于集合经验模态分解和相关向量机的风电功率实时预测研究. 《太阳能学报》.
  178. Mao Yang, Jian Du (2016). The analysis of independence of wind speed based on the probability of run-length. International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).DOI
  179. Mao Yang, QiongQiong Yang (2016). Wind power forecast based on cloud model. International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).DOI
  180. Mao Yang, Chunlin Yang (2016). Uncertainty analysis of wind power prediction based on Granular Computing. International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).DOI
  181. 杨茂，吕天峰，季本明（2015）. 混沌理论在电力系统负荷预测中应用综述. 《东北电力大学学报》.
  182. 杨茂，杜刚，齐玥，穆钢，严干贵（2015）. 基于概率统计的风电功率波动规律性分析. 《太阳能学报》.
  183. 杨茂，季本明（2015）. 基于局域一阶加权法的风电功率超短期预测研究. 《东北电力大学学报》.
  184. 杨茂，孙涌，穆钢，严干贵，张明明（2015）. 基于小波实时分解模式的风功率协同预测研究. 《太阳能学报》.
  185. 杨茂，齐玥，刘铁（2015）. 风电功率多采样间隔下损失信息度量及对预测影响研究. 《太阳能学报》.
  186. Gang Mu, Mao Yang, Dong Wang, Gangui Yan, Yue Qi (2015). Spatial dispersion of wind speeds and its influence on the forecasting error of wind power in a wind farm. Journal of Modern Power Systems and Clean Energy.DOI
  187. Mao Yang, Gang Du, Li Sun (2015). Probabilistic Interval Prediction of Wind Power. Applied Mechanics and Materials.DOI
  188. 杨茂，孙涌，孙兆键，尹永亮，韩金釜（2014）. 风电场大规模数据管理系统设计与研发. 《东北电力大学学报》.
  189. Mao Yang, Jun Cheng Dong (2014). Wind Data Anomaly Detection and Interpolation of Missing Data. Applied Mechanics and Materials.DOI
  190. Mao Yang, Yue Qi (2014). Application of Recurrence Plot to Wind Power Predictability Study under Different Sampling Intervals. Applied Mechanics and Materials.DOI
  191. 严干贵，王东，杨茂，熊昊，宋薇（2013）. 两种风电功率多步预测方式的分析及评价. 《东北电力大学学报》.
  192. 严干贵，熊昊，杨茂，王东，宋薇（2013）. 基于小波理论的风电功率实时协同预测研究. 《东北电力大学学报》.
  193. 杨茂，贾云彭，钱为，陈琳（2013）. 基于动态权重的风电功率组合预测方法研究. 《东北电力大学学报》.
  194. 杨茂，王东，严干贵，穆钢（2013）. 风电功率波动特性中的周期性研究. 《太阳能学报》.
  195. 张逸，杨洪耕，叶茂清，杨茂，林瑞星（2012）. 基于多Agent的电能质量辅助服务平台. 《电力自动化设备》.
  196. 严干贵，宋薇，杨茂，王东，熊昊（2012）. 风电场风功率实时预测效果综合评价方法. 《电网与清洁能源》.
  197. 杨茂，刘冀春，叶茂清，杨华（2006）. 现代电能质量控制技术及其发展. 《第三届电能质量（国际）研讨会论文集》.
  198. 刘冀春，杨茂，叶茂清，杨华（2006）. 改进卡尔曼滤波器作动态谐波估计. 《第三届电能质量（国际）研讨会论文集》.
  199. Mao Yang, Xiao-Qing Ma, Jing-Yu Zhang, Xiang-Yu Li, Yun-Peng Jia, Xin Su, Ao Zhang, Tao Huang. Scenario-aware dynamic graph learning with topology memory for wind farm cluster power forecasting. Electric power systems research.DOI
  200. De-Cheng Zhi, Zheng Wang, Ao Zhang, Ling Wang, Mao Yang. An ultra-short-term wind farm cluster power forecasting method: beaufort wind speed level-based multi-scenario feature selection and regime-dependent error correction. Electric power systems research.DOI

预印本

  1. Mao Yang, Zhong Wang, Da Wang, Bowen Hou, Ao Zhang (2026). STPFM: A Multi-Step Forecasting Method for Ultra-Short-Term Power of Photovoltaic Clusters Considering the Re-performance Characteristics of Similar Scenarios. SSRN Electronic Journal.DOI
  2. Mao Yang, Runqi Che, Xinnan Yu, Xin Su (2024). Dual Nwp Wind Speed Correction Based on Trend Fusion and Fluctuation Clustering and its Application in Short-Term Wind Power Prediction. SSRN Electronic Journal.DOI
  3. Mao Yang, Yunfeng Guo, Yutong Huang, Da‐Ke Gu (2023). Info-Hkelm Wind Power Short-Term Prediction Based on Wind Power Low Output Event Identification and Multi-Scenario Error Compensation. SSRN Electronic Journal.DOI
  4. Mao Yang, Yi Li, Wei Zhang, Xin Su (2023). Short-Term Interval Prediction of Photovoltaic Power Considering Correlation Information Matching of Meteorological Resources and Trend Mutation Perception. SSRN Electronic Journal.DOI
  5. Mao Yang, Jinxin Wang, xudong Cao, Da‐Ke Gu (2023). Economic Dispatch of Microgrid Generation-Load-Storage Based on Dynamic Multi-Level Game of Multiple Stakeholders. SSRN Electronic Journal.DOI
  6. Mao Yang, Renxian Jiang, Xiaobin Zhang, Yutong Huang, Yunfeng Guo (2023). Long-Foresight-Term Power Prediction Considering the Evolution of Significant Weather Information for Wind Farm Cluster. SSRN Electronic Journal.DOI

研究方向

电力工业新能源轻工业手工业

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