- Energy, Environment, Economic Growth
- Optimal Power Flow Distribution
- Environmental Impact and Sustainability
- Advanced Multi-Objective Optimization Algorithms
- Housing Market and Economics
- Data-Driven Disease Surveillance
- Energy Load and Power Forecasting
- Electric Power System Optimization
- Market Dynamics and Volatility
- COVID-19 diagnosis using AI
- COVID-19 epidemiological studies
- Energy, Environment, and Transportation Policies
- Grey System Theory Applications
Nanjing University of Information Science and Technology
2023
Henan University of Technology
2022
The emission peak and carbon neutrality targets pose a great challenge to reduction in the coal industry, industry will face an all-around deep adjustment. forecast of price is crucial for reducing emissions orderly manner under premise ensuring national energy security. volatility instability prices are result multiple influencing factors, making it very difficult make accurate predictions changes. We propose this paper innovative hybrid forecasting method (CEEMDAN-GWO-CatBoost) indexes by...
Toward solving the slow convergence and low prediction accuracy problems associated with XGBoost in COVID-19-based transmission prediction, a novel algorithm based on guided aggregation is presented to optimize model. In this study, we collect early COVID-19 propagation data using web crawling techniques use Lasso select important attributes simplify attribute set. Moreover, improve global exploration local mining capability of grey wolf optimization (GWO) algorithm, backward learning...
To address the difficulty of low prediction accuracy, insufficient model stability, and certain lag associated with a single machine learning in house price, this paper proposes multimodel fusion price based on stacking integrated learning. Firstly, web search data affecting prices were collected by crawler technology, Spearman correlation analysis was performed attribute set to reduce its complexity establish index system for four first‐tier cities China. Secondly, goal improving diversity,...