Education

2020 - Present           Yanshan Unviersity

2017 - 2020               Ph.D in Economics, Dongbei University of Finance and Economics, China

Research interests

Statistical modelling, Environmental and Energy Economics,  Efficiency and Productivity Analysis

Personal experience

2024 - Present           Doctoral supervisor, Yanshan Unviersity

2021 - Present           Master's supervisor, Yanshan Unviersity

2020 - Present           Assistant Professor, Yanshan Unviersity

Published paper

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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