A5080175893- Energy, Environment, Economic Growth
- Energy Load and Power Forecasting
- Energy, Environment, and Transportation Policies
- Climate Change Policy and Economics
- Air Quality Monitoring and Forecasting
- IoT and Edge/Fog Computing
- Market Dynamics and Volatility
- Grey System Theory Applications
- Machine Learning and ELM
- AI in cancer detection
- Energy Efficient Wireless Sensor Networks
- Drilling and Well Engineering
- Air Quality and Health Impacts
- Environmental Impact and Sustainability
- Microstructure and Mechanical Properties of Steels
- Medical Imaging and Analysis
- Power Systems and Renewable Energy
- Erosion and Abrasive Machining
- Photovoltaic Systems and Sustainability
- COVID-19 impact on air quality
- IoT Networks and Protocols
- Electric Power System Optimization
- Risk and Safety Analysis
- Artificial Intelligence in Healthcare and Education
- Vehicle emissions and performance
China Special Equipment Inspection and Research Institute
2021-2025
The 180th Hospital of PLA
2024
Central South University
2024
Nanjing Tech University
2024
Xiamen University
2021-2023
Beihang University
2022
Hebei University of Engineering
2021-2022
Collaborative Innovation Center of Chemistry for Energy Materials
2022
North China Electric Power University
2017-2019
University of Chinese Academy of Sciences
2018
Carbon pricing is regarded as a crucial enabler for an accelerated low-carbon energy economy transformation to achieve temperature control targets. This paper studies carbon price forecasting considering historical series influencing factor. A hybrid model of kernel-based extreme learning machine (KELM) optimized by the bat optimization algorithm based on wavelet transform proposed. Firstly, used eliminate high-frequency components previous day's data improve accuracy prediction. Then,...
Accurate power-load forecasting for the safe and stable operation of a power system is great significance. However, random non-stationary electric-load time series which affected by many factors hinders improvement prediction accuracy. In light this, this paper innovatively combines factor analysis similar-day thinking into model short-term load forecasting. After analysis, latent that affect essentially are extracted from an original 22 influence factors. Then, considering contribution rate...
In this paper, a comprehensive study of the hydrodynamics and erosion wear behavior is presented in CFD (Computational Fluid Dynamics) simulations for modeling elbow structures. Both gas velocity particle diameter characteristics are considered investigation, detailed comparison among various models experimental data performed. A series numerical have been conducted 90-degree to facilitate analysis behavior, including static pressure, area rate. The results indicate that rate at position...
Carbon price forecasting is significant to both policy makers and market participants. However, since the complex characteristics of carbon prices are affected by many factors, it may be hard for a single prediction model obtain high-precision results. As consequence, new hybrid based on multi-resolution singular value decomposition (MRSVD) extreme learning machine (ELM) optimized moth–flame optimization (MFO) proposed prediction. First, through augmented Dickey–Fuller test (ADF),...
Abstract Background Artificial Intelligence(AI)-based solutions for Gleason grading hold promise pathologists, while image quality inconsistency, continuous data integration needs, and limited generalizability hinder their adoption scalability. Methods We present a comprehensive digital pathology workflow AI-assisted grading. It incorporates A!MagQC (image control), A!HistoClouds (cloud-based annotation), Pathologist-AI Interaction (PAI) model improvement, Trained on Akoya-scanned images...
Handan is one of the most polluted coal mining cities in North China Plain (NCP). There a lack research on pollution characteristics and sources carbonaceous components PM 2.5 city. Atmospheric samples were collected from City during 2018 organic carbon (OC) elemental (EC) analyzed with analyzer. The annual average mass concentrations total (TC = OC + EC) (101.88 ± 79.01) μg/m 3 (28.03 23.28) , respectively. ratio TC/PM was (28.29% 7.95%), indicating that made major contribution to ....
To better understand the changes in air pollutants an industrial city, Handan, North China, during COVID-19 lockdown period, quality and meteorological conditions were recorded from 1 January to 3 March 2020 corresponding period 2019. Compared 2019, largest reduction PM2.5–10, PM2.5, NO2 CO occurred period. PM2.5–10 displayed highest (66.6%), followed by (58.4%) PM2.5 (50.1%), while O3 increased 13.9%. Similarly, compared with pre-COVID-19 significantly decreased 66.1% lockdown, (45.9%)...
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Visual-inertial odometry is critical for Unmanned Aerial Vehicles (UAVs) and robotics. However, there are problems of motion drift blur in sharp brightness changes fast-motion scenes. It may cause the degradation image quality, which leads to poor location. Event cameras bio-inspired vision sensors that offer significant advantages high-dynamic Leveraging this property, paper presents a new range event-based visual-inertial (REVIO). Firstly, we propose an (EVIO) using sliding window...
Fog computing is expected to excavate and make full use of the inherent idle communication, cache, computation, control resources massive devices, relieve pressure cloud on link congestion, delay, energy consumption. However, how accurately sense all fog nodes (FNs) in real time vital efficient resource scheduling networks. Frequent sensing will result both high accuracy at controller (FC) cost FNs. To this end, we propose a novel incentive framework motivate FNs feed back their data...