科研项目：

[1]国家自然科学基金青年项目：新型电力系统需求侧可调节资源时空协同响应优化及其激励机制研究，主持；

[2]中国博士后基金面上资助项目：碳中和目标下终端能源消费结构低碳转型路径及政策优化研究，主持；

[3]北京市教委社科计划面上项目：支撑北京新型电力系统的需求侧可调节资源时空多维灵活性响应路径及激励机制研究，主持；

[4]朝阳区博士后项目：支持绿色低碳智慧能源体系的京津冀电-碳-绿证多市场耦合交易机制及政策协同路径研究，主持；

[5]国家自然科学基金项目：碳中和愿景下能源系统“源网荷储”互补运行优化模型与机制研究，参与；

[6]北京市社科基金重点项目：北京市可再生能源替代响应机制及激励政策研究，参与；

[7]国网能源研究院有限公司委托课题：分布式能源波动特征建模及开发，主持。

论文：

[1]杨莘博，鞠立伟，谭忠富.新能源微网多能协同优化及效益均衡机制研究[M].北京：中国电力出版社，2023.

[2]杨莘博.保障迎峰度夏电力供给[N].经济日报，2022-07-14(005).

[3]杨莘博,谭忠富,林宏宇等.计及需求响应及储能聚合商的分布式农村清洁能源系统运行优化模型[J].系统工程理论与实践, 2022, 42(12):3319-3334.

[4]Yang Shenbo,Tan Zhongfu, Lin Hongyu, et al. A two-stage optimization model for Park Integrated Energy System operation and benefit allocation considering the effect of Time-Of-Use energy price[J].Energy, 2020, 195,117013.

[5]杨莘博,谭忠富,林宏宇,等.计及合作联盟的园区综合能源系统随机优化及收益分配模型[J].电力系统自动化, 2020, 44(19): 36-46.

[6]Yang Shenbo, Lin Hongyu, Ju Liwei, et al. Chance-constrained bi-level optimal dispatching model and benefit allocation strategy for off-grid microgrid considering bilateral uncertainty of supply and demand[J].International Journal of Electrical Power & Energy Systems.2023, 146, 108719.

[7]Yang Shenbo, Tan Zhongfu, Zhou Jinghan, et al. A two-level game optimal dispatching model for the park integrated energy system considering Stackelberg and cooperative games[J].International Journal of Electrical Power & Energy Systems,2021, 130(3) ,106959.

[8]Yang Shenbo,Tan Zhongfu, Gou Shuaiyu, et al. Optimization model of WPO-PVO-ESO cooperative participation in day-ahead electricity market transactions considering uncertainty and CVaR theory [J].International Journal of Electrical Power & Energy Systems,2021,129, 106718.

[9]Yang Shenbo, Lin Hongyu, Ma Jie, et al. A two-stage operation optimization model for isolated integrated energy systems with concentrating solar power plant considering multi-energy and multi-type demand response [J].Energy Reports.2022, 8, 13320-13332.

[10]Yang Shenbo,Tan Zhongfu, Zhao Rui, et al. Operation optimization and income distribution model of park integrated energy system with power-to-gas technology and energy storage[J].Journal of Cleaner Production,2019, 247, 119090.

[11]Yang Shenbo,Tan Zhongfu, Liu Zhixiong, et al. A multi-objective stochastic optimization model for electricity retailers with energy storage system considering uncertainty and demand response [J]Journal of Cleaner Production,2020, 277, 124017.

[12]Tan Zhongfu,Yang Shenbo*, Lin Hongyu, et al. Multi-scenario operation optimization model for park integrated energy system based on multi-energy demand response.[J].Sustainable Cities and Society, 2020,53, 101973.

[13]Ju Liwei, Lu Xiaolong,YangShenbo*. A multi-time scale dispatching optimal model for rural biomass waste energy conversion system-based micro-energy grid considering multi-energy demand response[J].Applied Energy.2022, 327, 120155.

[14]Ju Liwei, Zhou Qingqing, Lu Xiaolong,Yang Shenbo*.A multi-objective peak regulation transaction optimization and benefits coordination model for multi-sources coupling system considering flexible load response [J].Energy Reports.2022,8, 13083-13100.