教育背景
2014.09-2019.06/华中科技大学/水电与数字化工程学院/水利工程/工学博士(硕博连读)
2010.08-2014.07/西安理工大学/ 水利水电学院/水利水电工程/工学学士
工作经历
2025.11-至今/西安建筑科技大学/建筑设备科学与工程学院/准聘副教授
2024.08-2025.10/淮阴工学院/自动化学院/副教授
2023.02-至今/西安交通大学/能源与动力工程学院/博士后
2019.08-2024.08/淮阴工学院/自动化学院/讲师
主讲课程
本科生课程/《建筑供配电与照明系统》 24学时
本科生课程/《建筑智能环境学》40学时
科研项目
[7]主持,西安建筑科技大学人才引进启动项目,2025-11~2028-11,在研
[6]主持,江苏省高校自然科学基金面上项目(24KJD480001),2024-09~2026-10,在研
[5]主持,江苏省高校自然科学基金面上项目(20KJD480003),2020-12~2022-12,结题
[4]主持,江苏省产学研项目(BY2022408),2022-01~2023-12,结题
[3]主持,江苏省双创人才项目(JSSCBS(2020)31035)2020-07~2022-06,结题
[2]参与,陕西省重点研发计划项目,2023-01-01~2025-12-31,结题
[1]参与,上海核工程研究设计院股份有限公司委托横向,2023-07-24~2024-07-22,结题
学术论文
ResearchGate主页:www.researchgate.net/profile/Na-Sun-9/research
科研之友:www.scholarmate.com/psnweb/homepage/show?psnLanguage=0
2026 2篇
[22]孙娜, 倪昊, 张楠, 张海荣, 贾本军*. 自适应双分解驱动的深度混合径流预测研究[J].中国农村水利水电(in press)
[21]张楠, 朱永奇, 郑创, 孙娜*, 薛小明. 基于样本熵和CNN-MGM混合模型的超短期风速预测[J].太阳能学报, 2026-2-6(in press)
2025 5篇
[20]Na Sun, Peng Wu, Shuai Zhang, Nan Zhang*, Jie Ji, Hairong Zhang. Precise state-of-health estimation for lithium-ion batteries via dual-stage signal decomposition and metaheuristic-optimized deep learning framework[J]. Journal of Power Sources, 2025, 658: 238291.
[19]Na Sun, Shuai Zhang, Nan Li*, Zijian Li, Meng He, Zhengchun Shen, Ke Wang, Xiaoyong Guo, Wen-Quan Tao*. Adaptive Optimization Decision System for Plate-Fin Heat Exchangers: An Integrated Approach to Enhancing Efficiency and Performance[J]. Case Studies in Thermal Engineering, 2025, 73 : 106619.
[18]Na Sun, Shuai Zhang*, Nan Li, Fan Zhao, Meng He, Zijian Li, Ruochen Ma, Ke Wang, Wen-Quan Tao*.A fast design tool for compact heat exchangers tube geometry to enhance thermohydraulic performance using various AI models[J]. Expert Systems with Applications, 2025, 271, 126635.
[17]王希,孙娜,苏浩, 张楠, 张帅, 纪捷. 基于样本熵双分解和SSA-LSTM的超短期风速预测[J].太阳能学报, 2025, 46(3), 611-618.
[16]Bo Chang, Xinrong Zhang, Na Sun*, Hao Ni. Novel Gain-Optimized Two-Step Fusion Filtering Method for Ranging-Based Localization Using Predicted Residuals [J]. Sensors. 2025, 25 (9): 2883.
2024 1篇
[15]Na Sun, Shuai Zhang*, Haobo Guo, Fan Zhao, Nan Li, Meng He, Zijian Li, Ruochen Ma, Ke Wang , Wen-Quan Tao*. A parametric optimization framework for fin-and-tube heat exchangers based on response surface methodology and artificial intelligence [J]. Applied Thermal Engineering, 2024, 253, 123775.
2023 4篇
[14]Na Sun*, Shuai Zhang*, Puhang Jin, Nan Li, Siyuan Yang, Zijian Li, Ke Wang, Xiangmiao Hao, Fan Zhao. An intelligent plate fin-and-tube heat exchanger design system through integration of CFD, NSGA-II, ANN and TOPSIS [J]. Expert Systems with Applications. 2023, 233:120926.
[13]Nan Zhang, Chen Feng, Yahui Shan, Na Sun*, Xiaoming Xue*, Liping Shi. A universal stability quantification method for grid-connected hydropower plant considering FOPI controller and complex nonlinear characteristics based on improved GWO[J]. Renewable energy. 2023, 211: 874-894.
[12]张楠, 朱永奇, 孙娜*, 赖昕杰, 李超顺. 基于OVMD-TVFEMD二次分解和 HPO-ELM 的水电机组振动趋势预测[J]. 水电能源科学, 2023, 41 (10): 204-207+19.
[11]孙娜, 张楠*, 张帅, 彭甜, 周建中, 张海荣. 一种基于物理核函数高斯过程回归的月径流预报模型及其应用[J]. 水电能源科学, 2023, 41 (04): 39-43.
2022 2篇
[10]Na Sun*; Shuai Zhang; Tian Peng; Nan Zhang; Jianzhong Zhou; Hairong Zhang ; Multi-Variables-Driven Model Based on Random Forest and Gaussian Process Regression for Monthly streamflow forecasting[J]. Water , 2022, 14: 1828.
[9]Na Sun*; Nan Zhang; Shuai Zhang; Tian Peng; Wei Jiang; Jie Ji; Xiangmiao Hao; An Integrated Framework Based on an Improved Gaussian Process Regression and Decomposition Technique for Hourly Solar Radiation Forecasting[J]. Sustainability, 2022, 14: 15298.
2020 1篇
[8]Na Sun*, Shuai Zhang, Tian Peng, Jianzhong Zhou, Xinguo Sun. A composite uncertainty forecasting model for unstable time series: Application of wind speed and streamflow forecasting [J]. IEEE Access, 2020, 8: 209251-209266.
2019 1篇
[7]Na Sun, Jianzhong Zhou*, Guangbiao Liu, Zhongzheng He. A hybrid wind speed forecasting model based on a decomposition method and an improved regularized extreme learning machine[J]. Energy Procedia, 2019, 158: 217-222.
2018 6篇
[6]Na Sun, Jianzhong Zhou*, Lu Chen, Benjun Jia, Muhammad Tayyab, Tian Peng. An adaptive dynamic short-term wind speed forecasting model using secondary decomposition and an improved regularized extreme learning machine [J]. Energy, 2018, 165: 939-975.
[5]Jianzhong Zhou, Na Sun*, Benjun Jia, Tian Peng. A Novel Decomposition-Optimization Model for Short-Term Wind Speed Forecasting [J]. Energies, 2018, 11(7): 1752.
[4]Lu Chen, Na Sun*, Chao Zhou, Jianzhong Zhou, Yanlai Zhou, Junhong Zhang and Qing Zhou. Flood forecasting based on an improved extreme learning machine model combined with the backtracking search optimization algorithm. Water , 2018,10(10), 1362.
[3]孙娜, 周建中. 基于正则极限学习机的非平稳径流组合预测[J]. 水力发电学报, 2018, 37(08): 20-28.
[2]孙娜, 周建中, 朱双, 李薇, 彭甜. 基于小波分析的两种神经网络耦合模型在月径流预测中的应用[J]. 水电能源科学, 2018, 36(4): 14-17+32.
[1]孙娜, 周建中, 张海荣, 葛乐壮. 新安江模型与水箱模型在柘溪流域适用性研究[J]. 水文, 2018, 38(3):37-42.
发明专利
[8]一种平直翅片管式换热器管型优化系统及方法.(授权)
[7]一种压缩机故障实时检测及预警方法和系统.(指导老师,授权转化)
[6]一种基于多模型集成的风电场风速预测方法及系统.(指导老师,授权转化 )
[5]一种锂电池SOH智能估计方法与系统.(指导老师,授权转化)
[4]一种锂电池故障的联邦协同智能诊断方法和系统.(指导老师,授权转化)
[3]校园两轮电动车充电桩再布局优化方法和系统.(指导老师,授权)
[2]一种基于云网互联的电子膨胀阀健康管理系统.(指导老师,授权)
[1]基于元宇宙的锂电池剩余寿命预测方法及系统.(指导老师,授权)
学生指导
已指导6名研究生,学生发表SCI 1篇,EI 1篇,授权专利7项;
指导本科生参加学科竞赛10余项,省部级以上奖励4项。
社会兼职
2024~至今 全国研究生教育评估监测专家库专家
《Applied energy》、《Energy》、《Engineering Applicationsof Artifcial Intelligence》、《Expert Systems with Applications》等期刊审稿人