刘佰 - 哈尔滨工业大学 - 电气工程及自动化学院

个人简介

刘佰，男，1995年出生于黑龙江省鹤岗市。2017年于东北农业大学获得工学、文学双学士学位。2022年于哈尔滨工业大学获得工学博士学位，现就职于哈尔滨工业大学电气工程及自动化学院。教育经历 2013.09-2017.06 土木工程东北农业大学水利与建筑学院本科 2017.09-2022.08 结构工程哈尔滨工业大学土木工程学院博士工作经历哈尔滨工业大学电气工程学院助理研究员 2023年3月-至今

研究领域

能源气象农业气象可预测性分析太阳能资源评估结构受力状态理论

近期论文

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Yang, G., Yang, D. §, Kleissl, J., Perez, M.J., Perez, R., Xia, X., Liu, B., Zhang, H., 2023. Hydrogen production using curtailed electricity of firm photovoltaic plants: Conception, modeling, and optimization. Under preparation. Yang, D. §, Kong, Y., Wang, W., Yang, G., Chen, Y., Liu, B., 2023. Comparing calibrated analog and dynamical ensemble solar forecasts. Solar Energy, submitted. Wang, W., Zhang, Z., Guo, Y., Yang, D. §, Kleissl, J., van der Meer, D., Yang, G., Hong, T., Liu, B., Huang, N., Mayer, M.J., 2023. Economics of physics-based solar forecasting in power system day-ahead scheduling. Renewable & Sustainable Energy Reviews, submitted. Yang, D. §, Yang, G., Liu, B., 2023. Combining quantiles of calibrated solar forecasts from ensemble numerical weather prediction. Renewable Energy, 215, 118993. https://doi.org/10.1016/j.renene.2023.118993 (IF:8.7). Liu, B., Wang, J., Chen, J., Li, B., Sun, D., Zhang, G. §, 2023. A probabilistic perspective on predictability of solar irradiance using bootstrapped correlograms and ensemble predictability error growth. Solar Energy, 260, 17-24. https://doi.org/10.1016/j.solener.2023.05.053 (IF:6.7). Yang, G., Zhang, H. §, Wang, W., Liu, B., Lyu, C., Yang, D., 2023. Capacity optimization and economic analysis of PV–hydrogen hybrid system with physical solar power curve modeling. Energy Conversion and Management, 288, 117128. https://doi.org/10.1016/j.enconman.2023.117128 (IF:10.4). Liu, B., Yang, D. §, Mayer, M.J., Coimbra, C.F.M., Kleissl, J., Kay, M., Wang, W., Bright, J.M., Xia, X., Lv, X., Srinivasan, D., Wu, Y., Beyer, H.G., Yagli, G.M., Shen, Y., 2023. Predictability and forecast skill of solar irradiance over the contiguous United States. Renewable & Sustainable Energy Reviews, 182, 113359. https://doi.org/10.1016/j.rser.2023.113359 (IF:15.9). Zhang, L., Li, R., Shen, Z. §, Liu, B., Kong, J., Zhou, G., 2023.The stressing state features of a bottom frame structure revealed from the shaking table strain data. Materials, 16, 1809. https://doi.org/ 10.3390/ma16051809 (IF:3.4). Shen, Z., Liu, B., Xin, C. §, Zhou, G., 2022. Stressing state features of H-steel columns under cyclic biaxialbending action revealed from experimental residual strains. Case Studies in Construction Materials. https://doi.org/10.1016/j.cscm.2022.e01518 (IF:6.2). Shen, Z., Liu, B. §, Zhou, G., 2022. Stressing state analysis of concrete airport pavement by modeling experimental strain data. Case Studies in Construction Materials. https://doi.org/10.1016/j.cscm.2022.e01635 (IF:6.2). Shen, Z., Liu, B. §, Zhou, G., 2022. Stressing state analysis of SRC column with modeling test and finite element model data. Appl. Sci, 12, 8866. https://doi.org/ 10.3390/app12178866 (IF:2.7). Shen, Z., Liu, B. §, Zhou, G., 2022. Research on the general failure law of a CTRC column by modeling FEM output data. Materials, 15, 6058. https://doi.org/10.3390/ ma15176058 (IF:3.4). Liu, B. §. 2022. Evaluation of interface shear transfer strength of steel fiber-reinforced concrete based on artificial neural network and regression method. Structural Concrete, 23, 1049– 1064. https://doi.org/10.1002/suco.202100605 (IF:3.2). Zhao, Y., Liu, B., Li, H., Liu, H., Zhou, G. §. 2021. Hysteretic stressing state features of RCB shear walls revealed by structural stressing state theory. Case Studies in Construction Materials. https://doi.org/10.1016/j.cscm.2021.e00674 (IF:6.2). Liu, B., Zhao, Y., Liu, H., Zhou, G. §. 2021. The hysteretic failure features of reinforced masonry shear walls revealed by modeling experimental residual strain data. Journal of earthquake engineering, 26(14), 7353–7365. https://doi.org/10.1080/13632469.2021.1961943 (IF:2.6). Liu, B., Zhang, Y., Liu, R., Zhou, G.,Zhao, Y. §. 2020. Essential stressing state features of spirally reinforced concrete shortcolumns revealed by modeling experimental strain data. Structures, 25, 1-7. https://doi.org/10.1016/j.istruc.2020.02.006 (IF:4.1).