科研信息： 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，2022.07-2024.06，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，2021.07-2022.12，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，2021.02-2023.12，主持； (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，2021.02-2023.12，主持； (5) 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，2021.09-2022.09，主持； (6) 河北省文旅厅文化艺术科学规划和旅游研究一般项目，文化和旅游融合促进城市高质量发展的动力机制研究，2023.07-2024.12，主持； (7) 国家社会科学基金重大项目，大数据时代雾霾污染经济损失评估及防治对策研究，参与。 2.学术论文信息 (1) Ranran Li. Forecasting energy spot prices: A multiscale clustering recognition approach. Resources Policy. 81, 103320, 2023. (2) 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. (3) Ranran Li, Yu Jin*. The early-warning system based on hybrid optimization algorithm and fuzzy synthetic evaluation model. Information Sciences. 435, 296-319, 2018. (4) Ranran Li, Yuqi Dong, Zhijie Zhu*, et al. A dynamic evaluation framework for ambient air pollution monitoring. Applied Mathematical Modelling. 65, 52-71, 2019. (5) 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. (6)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. (7) 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. 2022. (8) 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 (SCI二区, CCF类别：C). 33, 301–320, 2021. (9) Ranran Li, Ping Jiang*, et al. A novel hybrid forecasting scheme for electricity demand time series. Sustainable Cities and Society (SCI二区). 55, 102036, 2020. (10) 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. (11) 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. (12) 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(SSCI：Q2, ABS 2星). 30(6), 2022. (13) 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. (14) Ping Jiang, Ranran Li*, et al. Modeling of electricity demand forecast for power system. Neural Computing & Application. 32(11), 6857-6875, 2020. (15) 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. (16) 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. |
