A5086370451- Market Dynamics and Volatility
- Grey System Theory Applications
- Industrial Technology and Control Systems
- Chinese history and philosophy
- Energy Load and Power Forecasting
- Higher Education and Teaching Methods
- Global Energy Security and Policy
- Advanced Sensor and Control Systems
- Forecasting Techniques and Applications
- Cloud Data Security Solutions
- Manufacturing Process and Optimization
- Translation Studies and Practices
- Education and Work Dynamics
- Simulation and Modeling Applications
- Energy, Environment, and Transportation Policies
- Educational Reforms and Innovations
- Educational Technology and Pedagogy
- Security and Verification in Computing
- Educational Technology and Assessment
- Petroleum Processing and Analysis
- Innovative Educational Techniques
- Advanced Computational Techniques and Applications
- Stock Market Forecasting Methods
- ICT Impact and Policies
- Advanced Algorithms and Applications
Shanghai Maritime University
2015-2025
Fujian Medical University
2024
Union Hospital
2024
Northwest Institute of Mechanical and Electrical Engineering
2012-2024
Research Center for Eco-Environmental Sciences
2022-2024
Chinese Academy of Sciences
2022-2024
University of Chinese Academy of Sciences
2021-2024
Nanning Normal University
2022-2024
Jilin Normal University
2024
China Ocean Shipping (China)
2024
With the popularity of deep learning model in engineering fields, it has attracted significant research interests economic and finance fields. In this paper, we use to capture unknown complex nonlinear characteristics crude oil price movement. We further propose a new hybrid forecasting based on model. Using proposed model, major movement is analyzed modeled. The performance evaluated using data WTI markets. empirical results show that achieves improved accuracy.
Wind power (WP) represents a Renewable Energy Source (RES) that has noticed substantial development as people continuously search for green energy sources. Utilizing predominantly Predictive Maintenance (PM) of Turbines (WT), this research analyzes the potential benefits could be generated by (WE) through use Internet Things (IoT) and Wireless Sensor Networks (WSN). This recommends an Things-WSN model PM comprised three distinct phases: primary phase is collection data via sensors, second...
Recent investigations on pomegranate products have significantly increased and successfully drawn consumers' attention to nutritional medicinal values, promoting the industry's development worldwide. However, little information pomegranates grown in China is available. Morphological chemical characterizations of fruits arils from 20 cultivars six regions were investigated. Combined with overall scores by principal component analysis, 'Yushiliu No. 1', 'Taishanhong 2', 'Tunisia' 'Mollar'...
Analyzing the interactions between spot and time charter freight is crucial for maritime industry. While numerous studies have explored relationship average indices spillover effects, a gap remains in understanding deeper connections inter-regional shipping routes chartering contracts. This research investigates role of Capesize dynamics shaping regional dry bulk market, with focus on influence energy commodity price fluctuations. Utilizing TVP-VAR model, we identify distinct trends across...
Insertion resistance is the caused by a pile to wheel loader when latter inserts into pile. It significant clarify insertion avoid slippage, increase additional energy consumption, and protect during process. To address problem that current methods cannot accurately obtain magnitude variation trend, we propose composite model based on particle swarm optimization (PSO) algorithm long short-term memory (LSTM) neural network. Firstly, Pearson correlation coefficient method used test parameters...
Anthropogenic heavy metal emissions can severely impact lake ecosystems. However, the fate processes of metals and their on aquatic environment during acute input events are poorly understood. To address this, our study selected cadmium (Cd), predominant contaminant in Baiyangdian sediments, as a model pollutant to simulate within sediment microcosms. We examined total Cd content its fraction distribution profile, revealing substantial increase surface layer while also identifying presence...
Purpose This paper applied grey wave forecasting in a decomposition–ensemble method for modelling the complex and non-linear features time series data. application aims to test advantages of predicting with periodic fluctuations. Design/methodology/approach The combines empirical mode decomposition (EMD), component reconstruction technology forecasting. More specifically, EMD is used decompose data into different intrinsic function (IMF) components first step. Permutation entropy average...
Chicago Board Option Exchange publishes the Crude Oil Volatility Index (OVX) in 2007, which is regarded as a new barometer to research variance of oil future prices. This paper explores how OVX changes are influenced by crude price returns with time-varying coefficients achieved Kalman filter. The results indicate negative and asymmetric contemporaneous relationship between returns.
Crude oil price plays an important role in the development of global economy. Numerous industry practitioners, researchers and policy makers pay much attention on fluctuations crude as while accurate prediction it. This paper uses a graphical method-grey wave forecasting-to forecast multi-step-ahead price, which enriches literature extends application scope grey system forecasting theory. The empirical results demonstrate that based daily data method performs well it can also dominate ARMA(1,1).
Investor sentiment is a research focus in behavior finance. This paper chooses five proxy variables according to China’s reality and uses two-step principal component analysis construct an investor index. The are the number of new stock accounts, turnover ratio, margin balance, net active purchasing amount, attention. In final part this study, using price data from Shanghai Shenzhen Security Exchange, investigates dynamic relationship between market realized volatility based on thermal...
In the automatic shoveling operation of wheel loaders, shovel trajectory has a significant influence on operation’s performance. order to obtain suitable and optimize performance loader, we developed test platform for operational loaders. Nine parallel trajectories different depths were designed according coordination method. The formula calculating is established. performed real-time parameters, which are then combined with calculation calculate operating parameters loader. Finally, actual...