职 称 : 讲师（高校）
学 科 :
单 位 : 经济管理学院Statistical modelling, Environmental and Energy Economics, Efficiency and Productivity Analysis
2020 - Present Yanshan Unviersity
2017 - 2020 Ph.D in Economics, Dongbei University of Finance and Economics, China
Statistical modelling, Environmental and Energy Economics, Efficiency and Productivity Analysis
2024 - Present Doctoral supervisor, Yanshan Unviersity
2021 - Present Master's supervisor, Yanshan Unviersity
2020 - Present Assistant Professor, Yanshan Unviersity
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.
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.
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.
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.
Ranran Li*. Forecasting energy spot prices: A multiscale clustering recognition approach. Resources Policy. 81, 103320, 2023.
Ranran Li, Zhiyang Shen*. How does foreign direct investment improve urban air quality?. Environmental Science and Pollution Research. 2023.
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.
Ranran Li, Ping Jiang*, et al. A novel hybrid forecasting scheme for electricity demand time series. Sustainable Cities and Society. 55, 102036, 2020.
Ping Jiang, Ranran Li*, et al. Modeling of electricity demand forecast for power system. Neural Computing & Application. 32(11), 6857-6875, 2020.
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.
Ranran Li, Yuqi Dong, Zhijie Zhu*, et al. A dynamic evaluation framework for ambient air pollution monitoring. Applied Mathematical Modelling. 65, 52-71, 2019.
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.
Ranran Li, Yu Jin*. The early-warning system based on hybrid optimization algorithm and fuzzy synthetic evaluation model. Information Sciences. 435, 296-319, 2018.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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