He, Yaoyao

Basic Information

Personal Introduction

Dr. HE Yaoyao, male, born in November 1982, is currently a professor and a doctor supervisor of the School of Management, Hefei University of Technology. He is also a recipient of Outstanding Youth Project of Anhui Provincial Natural Science Foundation, a member of Water Resources Professional Committee of Chinese Society of Natural Resources, a correspondence reviewer of  Management Division/Engineering Materials Division Projects (general, youth, regional) of the National Natural Science Foundation of China, a correspondence reviewer of Anhui Provincial University Natural Science Research Projects (major, key).  He has been a visiting scholar at the School of Computing, University of Birmingham, UK, from August 2016 to August 2017. He has presided over 15 scientific research projects and 1 provincial teaching research project, including 2 General Projects  and 1 Youth Project of the National Natural Science Foundation , 7 provincial or ministerial projects and 2 Open Fund Projects of the Academy of Sciences, and has participated in more than 10 national or provincial scientific research projects. He has won one first prize of Changjiang Science and Technology Award (ranked 6th), two second prizes (ranked 1st) and one third prize (ranked 1st) of Anhui Province Excellent Thesis. He has published more than 70 papers, including more than 30 SCI/SSCI indexed papers and more than 50 EI indexed papers (including double index). He has been granted16 national invention patents including 12 as the first inventor, and 3 in actual review.

Work Experience

Professor of Hefei University of Technology, China     Jan 2019 to present
Associate Professor of Hefei University of Technology, China    Dec 2013 - Dec 2018
Lecturer of Hefei University of Technology, China    Jul 2010 - Nov 2018

Education Background

Doctor   Huazhong University of Science and Technology   2010
Master   Huazhong University of Science and Technology   2006
Bachelor   Fuyang Normal University   2004

Awards Received

One First Prize of Changjiang Science and Technology Award
Two Second Prizes (ranked 1st) and One Third Prize (ranked 1st) of Anhui Province Excellent Thesis

Intellectual Contribution

Journal Articles

1.Day-Ahead Peak Load Probability Density Forecasting Based on QRLSTM-DF Considering Exogenous Factors,IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2023-09-30

2.A cooperative ensemble method for multistep wind speed probabilistic forecasting,CHAOS SOLITONS & FRACTALS,2022-09-29

3.Multi-step probability density prediction of short-term wind power based on TVFEMD-SE and YJQRG,System Engineering Theory and Practice ,2022-08-25,42(8):2225-2242

4.A large constrained time-varying portfolio selection model withDCC-MIDAS: Evidence from Chinese stock market,INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS,2021-07-01

5.Short-term wind power prediction based on EEMD-LASSO-QRNN model,APPLIED SOFT COMPUTING,2021-07-01

6.A runoff probability density prediction method based on B-spline quantile regression and kernel density estimation,APPLIED MATHEMATICAL MODELLING,2021-05-01

7.Flood hazard assessment based on fuzzy clustering iterative model and chaotic particle swarm optimization,JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING,2021-01-01

8.Probability density forecasting of wind power based on multi-core parallel quantile regression neural network,KNOWLEDGE-BASED SYSTEMS,2020-12-17

9.Interconnectedness and systemic risk network of Chinese financial institutions: A LASSO-CoVaR approach,PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2019-11-15

10.Medium-term Power Load Probability Density Forecasting Method Based on LASSO Quantile Regression,System Engineering Theory and Practice ,2019-07-25,39(7):1845-1854

11.Probability density forecasting of wind power using quantile regression neural network and kernel density estimation,ENERGY CONVERSION AND MANAGEMENT,2018-05-15

12.Electrical load forecasting based on self-adaptive chaotic neural network using Chebyshev map,NEURAL COMPUTING & APPLICATIONS,2018-04-01

13.Evaluating and Preventing Multi- period Price Risks in Supply Chain Finance via QRNN+ GARCH Method,JOURNAL OF APPLIED STATISTICS AND MANAGEMENT,2018-02-23,37(4):728-740

14.Medium and Long Term Probability Density Forecasting Based on Box-Cox Transformation quantile Regression and Load Relation  Factor Identification,System Engineering Theory and Practice ,2018-01-25,38(1):197-207

15.Conditional density forecast of China's energy demand via QRNN model,APPLIED ECONOMICS LETTERS,2017-09-18

Conference Paper

1.Uncertainty Forecasting for Streamflow based on Support Vector Regression Method with Fuzzy Information Granulation,10th International Conference on Applied Energy (ICAE)10th International Conference on Applied Energy (ICAE),2019-02-01

Conference Presentation

1.Uncertainty Forecasting for Streamflow based on Support Vector

Regression Method with Fuzzy Information Granulation,10th International Conference on Applied Energy（ICAE）,2018-08-22

Project

1.Study on the medium- and long-term water allocation model of the water resources allocation project in the Pearl River Delta,2023-05-31,2027-05-31

2.Development and testing of calculation interface for ecological optimization scheduling of the Three Gorges Reservoir,2022-11-01,2023-04-30

3.Research on Online Probabilistic Forecasting Method for Power Load Based on Concept Drift and Hybrid Integration,2022-01-01,2025-12-31

4.Reform and Practice of the Mixed Teaching Model of Management Informatics Based on the Integration of Science and Education,2022-01-01,2023-12-31

5.Research on the Prediction Method of Power Load Probability Density in a Grid-connected Environment for High-ratio Renewable Energy,2021-01-01,2023-12-31

6.Research on Probability Density Prediction of Energy System Considering Wind and Light Power,2020-04-01,2021-12-31

7.Research on the Probability Density Prediction Method of Wind Power in the Energy Internet Environment,2018-01-01,2021-12-31

Patents

1.A multi-layer collaborative real-time classification and warning method for wind power ramp events,2022-11-23

2.A parameter self-adaptive hierarchical probability prediction method for PV power ramp events,2022-09-25

3.Wind speed probability prediction method for running trains based on improved Stacking algorithm by QRNN ,2022-09-22

4.Risk assessment method for hydropower stations based on density prediction of multi-core parallel flow probability ,2022-09-17

5.A method for predicting energy consumption structure with grey QRNN correction based on compositional data,2022-09-16

6.Tvf-emd-mcqrnn load probability prediction method based on fuzzy c-means clustering,The invention,2022-04-19

7.An optical probability density prediction method based on B-spline quantile regression,The invention,2021-02-05

8.Probabilistic prediction method of wind power based on chaotic firefly algorithm and Bayesian network,The invention,2021-01-15

9.Power load probabilistic prediction method based on chaotic crowd algorithm and Bayesian network,The invention,2021-01-15

10.Power load probability density prediction method based on fuzzy support vector quantile regression,The invention,2018-05-01

Awards

1.Yangtze River Science and Technology Award,National level,2021-12-31

Courses Taught

Information Resources Management--MBA

Frontier of Management Science and Engineering--Master Teaching

Management Data Analysis--Master Teaching

Management Cognition Practice--Undergraduate Teaching

Management Informatics--Undergraduate Teaching

Management Statistics--Undergraduate Teaching