（1）科研项目信息： ① 教育部人文社会科学研究项目，大数据和智能时代下空气质量评估与污染监测预警模型及应用研究，主持； ② 河北省社会科学基金，京津冀空气环境综合评估、联动预警及治理政策研究，主持； ③ 河北省自然科学基金，大数据背景下京津冀地区空气污染监测预警研究及应用，主持，已完成； ④ 河北省高等学校科研青拔人才项目，基于智能优化算法的城市环境系统评估及综合预警研究，主持，已完成； ⑤ 全国统计科学研究项目，农村居民生活质量的测度研究，主持； ⑥ 河北省社会科学发展研究课题，面向碳达峰目标的河北省能源产业发展路径研究，主持，已完成； ⑦ 河北省文旅厅一般项目，文化和旅游融合促进城市高质量发展的动力机制研究，主持； ⑧ 河北省统计局一般项目，河北省规模以上企业绿色创新效率的测度及路径研究，主持； ⑨ 秦皇岛市科技局项目，秦皇岛市企业研发投入发展现状及路径研究，主持； ⑩ 石家庄市科技局项目，基于多阶段自适应预测的城市空气质量反弹识别与等级评估，主持。 （2）学术论文信息： 1) Ranran Li, Yucai Hu, Jiani Heng, Xueli Chen*. A novel multiscale forecasting model for crude oil price time series. Technological Forecasting and Social Change. 173, 121181, 2021. 2) Xueli Chen, Guang Wang, Yiqiao Zhou, Ranran Li*. The High-Quality Development of China’s Publication Printing Industry From an Environmental Perspective. Journal of Global Information Management. 30(6), 2022. 3) Ranran Li*, Teng Han, Xiao Song. Stock price index forecasting using a multiscale modelling strategy based on frequency components analysis and intelligent optimization. Applied Soft Computing. 124, 109089, 2022. 4) Ranran Li*, Xiao Song. A multi-scale model with feature recognition for the use of energy futures price forecasting. Expert Systems with Applications. 211, 118622, 2022. 5) Ranran Li*. Forecasting energy spot prices: A multiscale clustering recognition approach. Resources Policy. 81, 103320, 2023. 6) Ranran Li, Zhiyang Shen*. How does foreign direct investment improve urban air quality?. Environmental Science and Pollution Research. 2023. 7) Ping Jiang, Ranran Li*, et al. A novel composite electricity demand forecasting framework by data processing and optimized support vector machine. Applied Energy. 260, 114243, 2020. 8) Ranran Li, Ping Jiang*, et al. A novel hybrid forecasting scheme for electricity demand time series. Sustainable Cities and Society. 55, 102036, 2020. 9) Ping Jiang, Ranran Li*, et al. Modeling of electricity demand forecast for power system. Neural Computing & Application. 32(11), 6857-6875, 2020. (10) Ranran Li, Xueli Chen, Tomas Balezentis, Dalia Streimikiene, Zhiyong Niu*. Multi-step least squares support vector machine modeling approach for forecasting short-term electricity demand with application. Neural Computing & Application. 33, 301–320, 2021. 11) Ranran Li, Yuqi Dong, Zhijie Zhu*, et al. A dynamic evaluation framework for ambient air pollution monitoring. Applied Mathematical Modelling. 65, 52-71, 2019. 12) Ping Jiang, Ranran Li*, et al. Multi-objective algorithm for the design of prediction intervals for wind power forecasting model. Applied Mathematical Modelling. 67, 101-122, 2019. 13) Ranran Li, Yu Jin*. The early-warning system based on hybrid optimization algorithm and fuzzy synthetic evaluation model. Information Sciences. 435, 296-319, 2018. 14) Ranran Li, Yu Jin*. A wind speed interval prediction system based on multi-objective optimization for machine learning method. Applied Energy. 228, 2207-2220, 2018. 15) Ping Jiang, Ranran Li*, et al. Two combined forecasting models based on singular spectrum analysis and intelligent optimized algorithm for short-term wind speed. Neural Computing & Application. 30 (1), 1-19, 2018. 16) Xiaoxue Wei*, Rui Zhao, Ranran Li, Ke Liu. High‑quality development efficiency in Yangtze River Delta urban agglomeration: analysis of spatiotemporal evaluation and influencing factors. Environment, Development and Sustainability. 2023. 17) Yucai Hu, Ranran Li, Lei Du, Shenggang Ren, Julien Chevallier. Could SO2 and CO2 emissions trading schemes achieve co-benefits of emissions reduction?. Energy Policy. 170: 113252, 2022. 18) Yuyang Gao, Jianzhou Wang, Xiaobo Zhang, Ranran Li. Ensemble wind speed prediction system based on envelope decomposition method and fuzzy inference evaluation of predictability. Applied Soft Computing. 124: 109010, 2022. 19) Zhiyang Shen, Ranran Li, Tomas Balezentis. The patterns and determinants of the carbon shadow price in China’s industrial sector: A by-production framework with directional distance function. Journal of Cleaner Production. 323: 129175, 2021. 20) Ping Jiang, Hufang Yang, Ranran Li, et al. Inbound tourism demand forecasting framework based on fuzzy time series and optimization algorithm. Applied Soft Computing. 92: 106320, 2020. 21) Hufang Yang, Zhijie Zhu*, Chen Li, Ranran Li, A novel combined forecasting system for air pollutants concentration based on fuzzy theory and optimization of aggregation weight. Applied Soft Computing. 87: 105972, 2020. 22) Ping Jiang, Chen Li*, Ranran Li, et al. An innovative hybrid air pollution early-warning system based on pollutants forecasting and Extenics evaluation. Knowledge-Based Systems. 164, 174–192, 2019. 23) Chen Li, Zhijie Zhu*, Hufang Yang, Ranran Li. An innovative hybrid system for wind speed forecasting based on fuzzy preprocessing scheme and multi-objective optimization. Energy. 174, 1219-1237, 2019. 24) Hongmin Li, Jianzhou Wang*, Ranran Li, et al. Novel analysis–forecast system based on multi-objective optimization for air quality index. Journal of Cleaner Production. 208, 1365-1383, 2019. 25) 刘宁宁,孙玉环,李冉冉等.中国制造业环境效率与污染精准减排路径选择.统计与信息论坛. 36(03), 2021. 26) 魏晓雪,李冉冉.国际视角下固定资本存量和全要素生产率测度研究——基于中国和美国的比较.统计与决策, 2023. |
