A5100716772- Environmental Impact and Sustainability
- Energy, Environment, Economic Growth
- Grey System Theory Applications
- Climate Change Policy and Economics
- Energy Load and Power Forecasting
- Power Systems and Technologies
- Advanced Decision-Making Techniques
- Advanced Computational Techniques and Applications
- Power Systems and Renewable Energy
- Evaluation Methods in Various Fields
- Evaluation and Optimization Models
- Energy, Environment, and Transportation Policies
- Water resources management and optimization
- Advanced Algorithms and Applications
- Water-Energy-Food Nexus Studies
- Smart Grid and Power Systems
- Power Systems Fault Detection
- Rough Sets and Fuzzy Logic
- Air Quality and Health Impacts
- Geoscience and Mining Technology
- Vehicle emissions and performance
- Multi-Criteria Decision Making
- Integrated Energy Systems Optimization
- Advanced Sensor and Control Systems
- Energy and Environment Impacts
North China Electric Power University
2016-2025
China Electric Power Research Institute
2010-2024
University of Science and Technology Beijing
2024
Northwest A&F University
2023
Air Force Engineering University
2022
Tianjin University
2021
China University of Petroleum, Beijing
2020
Taiyuan University of Technology
2017
Southwest Forestry University
2017
Beijing Normal University
2011-2016
To achieve the goals of national emission reduction, carbon peak and neutralization, different provinces will face extremely limited strict space. How to allocate these spaces is not only related realization reduction targets, but also development social economy. There are significant differences in resource endowments stages among China, industrial structure very different. The allocation quotas under path neutrality particularly important. Based on carbon-neutral simulated by existing...
Short-term electricity load is effected by various factors, It has the certain difficulty to make prediction accurate, but we can improve precise continuously optimizing forecasting methods. This paper carried out combination of ARIMA several methods based on idea time sequence, avoid deficiencies in aspects, perfect methods, model conduct short-term better.
China’s transport sector is responsible for approximately 10% of national CO 2 emissions. In the process industrialization and urbanization China, emissions from would continuously increase. order to investigate reduction potential provide policy guidance policymakers in sector, this study decomposed using Kaya identity, calculated contribution based on Logarithmic Mean Divisia Index (LMDI) method explore underlying determinants change, then constructed different scenarios predict estimate...