邮箱:20222652@bistu.edu.cn
地址:信息楼D座502
研究方向 |
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资源环境遥感反演模型与方法、电力大数据分析 |
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讲授课程 |
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《C语言程序设计A》、《信息资源管理》、《数据结构》、《IT产品设计与运营综合实践》等。 |
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教育经历 |
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2011年获得中国地质大学(北京)地图制图学与地理信息系统学士学位; 2016年获得中国地质大学(北京)测绘科学与技术博士学位(地图制图学与地理信息工程方向)。 |
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工作经历 |
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2022-至今 |
3044AM永利集团(CHINA)官方网站-Unique Platform |
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2016-2022 |
国网能源研究院有限公司 |
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学术成果 |
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期刊论文 [1]Zhao, Xu , et al. "Combining DMSP/OLS Nighttime Light with Echo State Network for Prediction of Daily PM2.5 Average Concentrations in Shanghai, China." Atmosphere 6.10(2015):1507-1520. [2]Sun, Xiangdong, Xu, Zhao*. "Did Zipf?s Law hold for Chinese cities and why? Evidence from multi-source data." Land Use Policy 106.1(2021). [3]Shuang, Z. , Xu, Q. , Xiangnan, L. , & Zhao, Xu . (2018). Finding the key periods for assimilating hj-1a/b ccd data and the wofost model to evaluate heavy metal stress in rice. Sensors, 18(4), 1230. [4]Xu, Zhao , S. Zhao , and X. Qian . "Extracting heavy metal stress indicators from remote sensing imagery using WOFOST model and wavelet packet decomposition algorithm." IOP Conference Series Materials Science and Engineering 592(2019):012056. [5]Xu, Zhao , et al. "A fuzzy function model for remote evaluation of chlorophyll-a concentration in the Northern of South China Sea-Hong Kong." E3S Web of Conferences 158.62(2020):05001. [6]Xu, Zhao , B. Shan , and J. Duan . "Research on the correlation between regional energy consumption and urbanization rate in China." IOP Conference Series: Earth and Environmental Science 384.1(2019):012038 (7pp). [7]Xu, Zhao , et al. "Research on energy consumption of China's prefecture-level scale based on DMSP/OLS night light data." IOP Conference Series Materials Science and Engineering 677(2019):042036. [8]Xiangdong Sun, Mingzhu Jia, Zhao Xu, Zhiyi Liu, Xuezhi Liu, Qian Liu, “An investigation of the determinants of energy intensity in emerging market countries”, Energy Strategy Reviews, 39 2022 [9]唐伟, 徐朝*, 单葆国, 张煜, 吴鹏, & 贾跃龙等. (2021). 基于细分行业用能结构特征的"十四五"电能替代电量规划. 中国电力, 54(7), 10. 科研项目 [1]电-碳协同模式下配电网平衡机制及演化路径研究,企业横向,2024.05–2025.12 [2]能源互联网融合视角下产业高质量发展机理与演进模式研究,横向课题,2023.06-2024.12 |
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所获荣誉 |
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[1]中国电力企业联合会,2022年度电力科技创新奖二等奖, 2022 |