王颖，必赢766net手机版副教授，硕士/博士研究生导师。近年来在Expert Systems with Applications，Applied Mathematical Modelling, Journal of Cleaner Production，Energy，Journal of forecasting，Energy Policy等期刊发表学术论文20余，指导本科生队伍参加第九届全国大学生统计建模大赛全国总决赛获得一等奖1项，2022年美国大学生数学建模比赛获一等奖1项。长期担任Knowledge-Based System、Energy Conversion and Management、IEEE Access等多个期刊审稿人。

联系方式：wangyingxyz0710@163.com

研究领域：数据挖掘与机器学习算法在金融市场、能源经济分析与建模等方面的应用。

主持及参与科研项目：

1.国家自然科学基金项目：基于多因素智能识别的碳市场价格自适应概率预测研究，2025-2028，在研，主持。

2.教育部人文社会科学研究青年基金项目：混频大数据环境下碳市场风险的动态测度与智能预警研究，2023-2025，在研，主持。

3.海南省自然科学基金高层次人才项目：基于多因素智能筛选的河流水质概率预测模型与污染预警研究，2025-2028，在研，主持。

4.海南省自然科学青年基金项目：基于多目标智能优化算法的区间型碳交易价格预测研究，2024-2027，在研，主持。

5.国家社会科学基金重大项目：农业农村现代化的统计监测与评价研究，2022-2027，在研，参与。

代表性论文：

[1] Wang Y, Li H, Atif J, et al. A novel ensemble electricity load forecasting system based on a decomposition-selection-optimization strategy[J]. Energy, 2024, 12:133524.

[2] Chen X, Wang Y*, Zhang H, Wang J. A novel hybrid forecasting model with feature selection and deep learning for wind speed research [J]. Journal of forecasting, 2024, 43:5（SSCI:Q1，IF：3.400）.

[3] Wang Y, Wang Y, Shahbaz Muhammad. How does digital economy affect energy poverty? Analysis from the global perspective [J]. Energy, 2023, 282:128692 （SCI:Q1, IF: 8. 857）.

[4] Wang J, Wang Y*, Li H, Yang H, Li Z. Ensemble forecasting system based on

decomposition-selection-optimization for point and interval carbon price prediction[J]. Applied Mathematical Modelling, 2023, 113:262-286（SCI:Q1, IF: 5.000）.

[5] Wang J, Wang Y*, Li Z, Li H, Yang H. Design of a combined system based on multi-objective optimization for point and interval forecasting of air pollution [J]. Expert Systems with Applications, 2022,191:116345（SCI:Q1, IF: 8.665）.

[6] Wang Y, Wang J*, Li Z, Yang H, Li H. Design of a combined system based on two-stage data preprocessing and multi-objective optimization for wind speed prediction [J]. Energy, 2021,231:121125（SCI:Q1, IF: 8.857）.

[7] Wang Y, Wang J*, Li Z. A novel hybrid air quality early-warning system based on phase-space reconstruction and multi-objective optimization: A case study in China [J]. Journal of Cleaner Production, 2020:260（SCI:Q1, IF:11.072）.

[8] Wang J, Wang Y*, Li Z, Li H, Yang H. A combined framework based on data preprocessing, neural networks and multi-tracker optimizer for wind speed prediction [J]. Sustainable Energy Technologies and Assessments, 2020, 40:100757（SCI:Q1, IF:7.632）.

[9] 王勇, 王颖. 中国实现碳减排双控目标的可行性及最优路径——能源结构优化的视角 [J]，中国环境科学2019, 39(10).

[10] Wu X, Zhan H, Hu J, Wang Y. Non-stationary GNNCrossformer: Transformer with graph information for non-stationary multivariate Spatio-Temporal wind power data forecasting[J]. Applied Energy, 2025, 377:124492.

[11] Wang Y, Shang P*, He L, Zhang Y, Liu D. Can China achieve the 2020 and 2030 carbon intensity targets through energy structure adjustment? [J]. Energies, 2018, 11(10):1-32（SCI:Q3, IF:3.252）.

[12] Li H, Wang J, Yang H, Wang Y. Air quality deterministic and probabilistic forecasting system based on hesitant fuzzy sets and nonlinear robust outlier correction [J]. Knowledge-Based Systems, 2022, 237: 107789（SCI:Q1, IF:8.139）.