姓名:史潔

性別:女

出生年月:1984年9月

學歷I學位:博士

專業技術職務|職稱:，副教授

學習及工作經歷:

研究領域:新能源風光電站及風光儲系統優化。

中國電工學會高級會員；美國電氣工程學會（IEEE）高級會員；《電力系統保護與控制》、PCMP青年編委；IEEE亞太濟南大學分會大使；國家教育部清潔能源拔尖人才、2024泉城海智特聘專家

代表性成果:

縱向主持

[1] 2017.01-2019.12 國家自然科學基金青年項目,《風電功率預測對風儲聯合發電系統超短期發電計劃影響機理研究》（51606085）

[2] 2021.12-2024.12 濟南市科技局高校20條產業創新載體項目（2021GXRC113）2021.01-2023.12 國家重點研發政府間合作項目,《基于多元柔性挖掘的主動配電網協同運行關鍵技術與仿真平臺研究》（2019YFE0118400）子課題

橫向主持

[1] 2020.01-2021.12 大型建筑內用電負荷行為特性優化研究，山東大學

[2] 2020.06-2021.12 分布式光伏調控運行與消納提升技術研究及應用，國網山東公司

[3] 2021.03-2021.10 海上風資源數據解析建模與功率預測，國電投山東電力咨詢院

[4] 2021.03-2021.09 儲能系統并網條件、電網特性與配置研究，中國華能集團

[5] 2023.05至今      超高分辨率測量數據對海上風電技術可行性研究，佰思德咨詢公司

[6] 2022.09至今      集中式風電場設備狀態監測和故障診斷研究，山東多瑞能源公司

發明專利轉化

[1] 2022.10-2027.10   基于功率特征提取的光伏-儲能系統容量優化設計方法及系統，ZL2019113111575，山東綠能環保科技有限公司，50萬

指導學生科創：

部分學術論文

[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 二區)

[2] Jie Shi, Yaobang Chen. Four-Stage Space-Time Hybrid Model for Distributed Photovoltaic Power Forecasting, in IEEE Transactions on Industry Applications, 2022. (SCI 二區)

[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 一區)

[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 二區)

[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 一區)

[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 二區，ESI高被引論文，單篇引用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] 范國慶，李康輝，史潔*，基于核密度估計與CatBoost算法的光伏功率預測方法，上海電力大學學報，39（06）：529-535, 2023.

[23] 史潔，蔡靜文，龍羊峽、雅礱江水域風電-水電互補潛力評估，濟南大學學報，2022（12）：48-52，2022.

[24] 史潔,劉曉飛.新能源功率預測算法優化研究.發電技術, 2019, 40（1）：5. 2019.

個人獲獎

[1] 計及新能源消納和供電可靠性的配電網源荷儲協同調控技術及應用，山東電力科技進步獎，三等獎，2020.10

[2] 能源互聯背景下配電網供電品質提升關鍵技術及應用，山東高等學?？萍歼M步獎，二等獎，2023.2

[3] 電力現貨市場下的新能源-儲能運行關鍵技術及應用，山東電工學會科技進步獎（首位），二等獎，2024.2

[4] 第十屆全國大學生能源經濟學術創意大賽，優秀指導教師獎（首位），2024.5

[5] “新工科”背景下以就業創業為導向的新能源專業風能教學體系研究，國家教育部“產學合作協同育人項目”（主持），2019.1

[6] 濟南大學青年教師教學比賽，二等獎，2020.11

[7] 濟南大學本科教學貢獻獎，2018.12