高婧婕

职称：讲师

联系方式：13370320650

邮箱：gaojingjie0412@126.com

社会任职：企业科技特派员

学历背景：博士研究生

研究领域：可再生能源发电预测、微电网能量管理、运行优化、强化学习

个人简介：

高婧婕博士，讲师，博士阶段就读于哈尔滨工程大学新能源绿色船舶电力系统实验室，主要从事新能源发电预测、储能优化配置、能量管理、系统优化调度等研究。长期致力于微电网领域的新能源发电技术、机器学习及强化学习在微电网中的应用，并在电气工程及能源等领域的权威期刊发表SCI/EI论文6篇。

学术研究成果：

[1] Jingjie Gao, Hai Lan, Xinan Zhang, H.H.C. Iu, Ying-Yi Hong, He Yin. A coordinated generation and voyage planning optimization scheme for all-electric ships under emission policy[J]. International Journal of Electrical Power and Energy Systems, 2024, 156: 109698.

[2] Hai Lan, Jingjie Gao, Ying-Yi Hong, He Yin. Interval forecasting of photovoltaic power generation on green ship under multi-factors coupling[J]. Sustainable Energy Technologies and Assessments, 2023, 56: 103088.

[3] Jingjie Gao, Hai Lan, Peng Cheng, Ying-Yi Hong, He Yin. Optimal scheduling of an electric propulsion tugboat considering various operating conditions and navigation uncertainties[J]. Journal of Marine Science and Engineering, 2022, 10(12): 1973.

[4] Jingjie Gao, Hai Lan, He Yin, Dan Li, Fang Lu. Optimal voyage and power dispatch of all-electric ship using improved piecewise linearization method[C]//2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2022: 1-6.

[5] Shuai Chu, Jingjie Gao, Dan Bai. A novel robust unscented Kalman filter for spacecraft attitude estimation. Advances in Space Research, 2025.

[6] Xinyu Hao, He Yin, Jingjie Gao, Hai Lan. Ultra short-term forecasting for the propulsion energy consumption of all-electric ships based on TCFFA-GRU-parallel network,Results in Engineering,Volume 25,2025,103767.