姓名:史洁

性别:女

出生年月:1984年9月

学历I学位:博士

专业技术职务|职称:，副教授

学习及工作经历:

研究领域:新能源风光电站及风光储系统优化。

中国电工学会高级会员；美国电气工程学会（IEEE）高级会员；《电力系统保护与控制》、PCMP青年编委；IEEE亚太英国365官方网站分会大使；国家教育部清洁能源拔尖人才、2024泉城海智特聘专家

代表性成果:

纵向主持

[1] 2017.01-2019.12 国家自然科学基金青年项目,《风电功率预测对风储联合发电系统超短期发电计划影响机理研究》（51606085）

[2] 2021.12-2024.12 济南市科技局高校20条产业创新载体项目（2021GXRC113）2021.01-2023.12 国家重点研发政府间合作项目,《基于多元柔性挖掘的主动配电网协同运行关键技术与仿真平台研究》（2019YFE0118400）子课题

横向主持

[1] 2020.01-2021.12 大型建筑内用电负荷行为特性优化研究，山东大学

[2] 2020.06-2021.12 分布式光伏调控运行与消纳提升技术研究及应用，国网山东公司

[3] 2021.03-2021.10 海上风资源数据解析建模与功率预测，国电投山东电力咨询院

[4] 2021.03-2021.09 储能系统并网条件、电网特性与配置研究，中国华能集团

[5] 2023.05至今      超高分辨率测量数据对海上风电技术可行性研究，佰思德咨询公司

[6] 2022.09至今      集中式风电场设备状态监测和故障诊断研究，山东多瑞能源公司

 发明专利转化

[1] 2022.10-2027.10   基于功率特征提取的光伏-储能系统容量优化设计方法及系统，ZL2019113111575，山东绿能环保科技有限公司，50万

指导学生科创：

部分学术论文

[1] Jie Shi, Yuming Wang, Yue Zhou. Bayesian Optimization - LSTM Modeling and Time Frequency Correlation Mapping Based Probabilistic Forecasting of Ultra-short-term Photovoltaic Power Outputs, in IEEE Transactions on Industry Applications, 60(2): 2422 - 2430. 2023. (SCI 二区)

[2] Jie Shi, Yaobang Chen. Four-Stage Space-Time Hybrid Model for Distributed Photovoltaic Power Forecasting, in IEEE Transactions on Industry Applications, 2022. (SCI 二区)

[3] Jie Shi, Luhao Wang, Wei-Jen Lee, Xingong Cheng, Xiju Zong. Hybrid Energy Storage System (HESS) optimization enabling very short-term wind power generation scheduling based on output feature extraction. Applied Energy. 2019. (SCI 一区)

[4] Jie Shi, Wei-Jen Lee, Xiaofei Liu，et al．Generation Scheduling Optimization of Wind-Energy Storage System Based on Wind Power Output Fluctuation Features. IEEE Transactions on Industry Applications, 54 (1): 10-17. 2018. (SCI 二区)

[5] Jie Shi, Zhaohao Ding, Wei-Jen Lee，et al．Hybrid Forecasting Model for Very-short Term Wind Power Forecasting Based on Grey Relational Analysis and Wind Speed Distribution Features. IEEE Transactions on Smart Grid, 5 (1): 521-526. 2014. (SCI 一区)

[6] Jie Shi, Wei-Jen Lee, Yongqian Liu，et al．Forecasting Power Output of Photovoltaic System Based on Weather Classification and Support Vector Machine. 2012. IEEE Transactions on Industry Applications, 48(3): 1064-1069. (SCI 二区，ESI高被引论文，单篇引用977次)

[7] Jie Shi, Yulei Gong, Xiaofei Liu，et al．Model optimization for very-short-term wind power forecasting using Hilbert-Huang Transform. International Conference on Smart Grid and Clean Energy Technologies. Chengdu, China. 2016. (EI)

[8] Jie Shi, Guoyu Zhang, Wei-jen Lee. Evaluating the Impact of Wind Power Probabilistic Forecasting on Very-short-term Generation Scheduling for Wind-Storage Combined Generation System. IEEE I&CPS Annual Meeting. May 6-10, Niagara Falls, ON, Canada. 2018.(EI)

[9] Yaobang Chen, Jie Shi*. Hybrid Models Based on LSTM and CNN Architecture with Bayesian Optimization for Short Term Photovoltaic Power Forecasting. IEEE I&CPS ASIA. 2021.(EI)

[10] Yuming Wang, Jie Shi*, Yan Ma. Ultra-short-term Interval Prediction Model for Photovoltaic Power Based on Bayesian Optimization. IEEE I&CPS ASIA. 2022. (EI)

[11] Zuan Fu, Xingong Cheng, Jie Shi*. Probability Estimation of Distributed Photovoltaic Power Prediction Based on KMC-optimized Copula. IEEE I&CPS ASIA. 2022. (EI)

[12] Jingwen Cai, Jie Shi*, Jinrui Guo. Sizing Optimization of Wind-Hydro Combination System Based on Frequency Division. Asia Energy and Electrical Engineering Symposium. 2021(EI)

[13] Jie Shi, Haoran Sun. Influence of regional climate characteristics on short-term photovoltaic power prediction. IEEE I&CPS Asia. 2020.(EI)

[14] Lian Liu，Jie Shi*, An Improved Wind Power Forecasting Framework Based on Seasonal Feature Selection and Temporal Convolutional Network. EI2 Annual meeting, 2023.(EI)

[15] Jingwen Cai, Jie Shi*, Xinxue Zhang, Research on Optimal Configuration of Energy Storage Capacity Considering High Proportion of Stable photovoltaic Consumption. International Conference on Applied Energy (ICAE2023). 2023.(EI)

[16] Lian Liu，Jie Shi*, Advanced Short-Term Wind Power Forecasting Model Based on Multiple Imputation and Deep Learning. International Conference on Applied Energy. 2024.(EI)

[17] Jie Shi，Yuming Wang，Konstantin Suslov. Application of time-space correlation correction model in ultra-short-term photovoltaic power prediction. IEEE Annual meeting. 2024. (EI)

[18] Deqiang Kong, Jie Shi*. A Novel Storage Energy Dispatch Improvement Model Based on Chameleon Swarm Algorithm. IEEE I&CPS ASIA. 2023. (EI)

[19] Yanni Zhang, Jie Shi*. Capacity Allocation of the Hybrid Wind-PV-Storage System Based on Improved Fish Swarm Optimization Algorithm. IEEE I&CPS ASIA. 2023. (EI)

[20] Jie Shi, Yuming Wang. Interval Prediction of Photovoltaic Power based on the BO-LSTM-Bootstrap. The 6th International Scientific and Technical Conference Modern Power Systems and Units. IEEE I&CPS ASIA. 2023. (EI)

[21]  Xi Huang, Jiaxing Wang, Jie Shi*. Potential Assessment of Photovoltaic Power Generation in China Based on High Temporal Resolution Scale. IEEE I&CPS ASIA. 2024. (EI)

[22] 范国庆，李康辉，史洁*，基于核密度估计与CatBoost算法的光伏功率预测方法，上海电力大学学报，39（06）：529-535, 2023.

[23] 史洁，蔡静文，龙羊峡、雅砻江水域风电-水电互补潜力评估，英国365官方网站学报，2022（12）：48-52，2022.

[24] 史洁,刘晓飞.新能源功率预测算法优化研究.发电技术, 2019, 40（1）：5. 2019.

个人获奖

[1] 计及新能源消纳和供电可靠性的配电网源荷储协同调控技术及应用，山东电力科技进步奖，三等奖，2020.10

[2] 能源互联背景下配电网供电品质提升关键技术及应用，山东高等学校科技进步奖，二等奖，2023.2

[3] 电力现货市场下的新能源-储能运行关键技术及应用，山东电工学会科技进步奖（首位），二等奖，2024.2

[4] 第十届全国大学生能源经济学术创意大赛，优秀指导教师奖（首位），2024.5

[5] “新工科”背景下以就业创业为导向的新能源专业风能教学体系研究，国家教育部“产学合作协同育人项目”（主持），2019.1

[6] 英国365官方网站青年教师教学比赛，二等奖，2020.11

[7] 英国365官方网站本科教学贡献奖，2018.12