A5015858866- Grey System Theory Applications
- Energy Load and Power Forecasting
- Diverse Interdisciplinary Research Innovations
- Water resources management and optimization
- Thyroid and Parathyroid Surgery
- Hepatocellular Carcinoma Treatment and Prognosis
- Gastric Cancer Management and Outcomes
- Sparse and Compressive Sensing Techniques
- Video Surveillance and Tracking Methods
- Analysis of environmental and stochastic processes
- Thyroid Cancer Diagnosis and Treatment
- Blind Source Separation Techniques
- Forecasting Techniques and Applications
- Market Dynamics and Volatility
- Image and Signal Denoising Methods
- Social Acceptance of Renewable Energy
- Molecular Junctions and Nanostructures
- Evaluation Methods in Various Fields
- Fuzzy Systems and Optimization
- Wave and Wind Energy Systems
- Cancer Mechanisms and Therapy
- Cancer-related molecular mechanisms research
- Energy, Environment, Economic Growth
- Atomic and Subatomic Physics Research
- Lung Cancer Diagnosis and Treatment
Jiangsu University
2024
Yangtze University
2022-2024
Changzhou No.2 People's Hospital
2022-2024
Nanjing Medical University
2022-2024
Central China Normal University
2019-2023
Harbin Institute of Technology
2023
Jingzhou Central Hospital
2005-2022
University of Chinese Academy of Sciences
2011-2022
Logistics University of People's Armed Police Force
2022
National University of Singapore
2021-2022
Natural gas, an important low-carbon and clean energy, is increasingly replacing high-pollution sources such as coal gasoline. Accurate natural gas consumption forecasts are to policy makers in making plans, saving costs, improving efficiency. This study developed a discrete fractional grey model with time power term (denoted DFGM(1,1,tα)) reference the discretization technique. The new simplified, generalized, overcomes existing drawbacks. Moreover, quantum genetic algorithm (QGA) used...
The onshore wind energy resource potential in Juangsu province was evaluat ed by annual power density and hours of effective speed, based on meteorological data from 1979 to 2008. Vestas V80-2.0MW (Megawatt) turbine chosen as the reference wind-generated assessed seasonal speed at 80m heights. Further, Geographic Information System (GIS) software used exclude those unsuitable areas for installing turbines. Results show that Jiangsu has abundant resource, which is gradually increasing coast...
Purpose This study aims to design a novel seasonal discrete grey model for forecasting monthly natural gas consumption by incorporating damping accumulation and time-polynomial term. Design/methodology/approach Considering the principle of new information priority nonlinear patterns in original series consumption, we establish adding term into existing model. In addition, order coefficient time-power can be determined moth flame optimization (MFO) algorithm. Findings The empirical cases show...
In recent years, the grey-based models with fractional accumulation have received extensive attention by scholars and been widely used in various fields. However, existing rough construction of background value grey model impairs its predictive performance to some extent. To address this problem, paper reconstructs a dynamic for composite integral median theorem, as result, novel model-based variable (denoted OFAGM(1,1) short) is proposed. particular, Particle Swarm Optimization algorithm...
As is known, natural gas consumption has been acted as an extremely important role in energy market of China, and this paper to present a novel grey model which based on the optimized nonhomogeneous (ONGM (1,1)) order accurately predict consumption. This study begins with proving that prediction results are independent first entry original series using product theory determinant; basis, it reliable approach by inserting arbitrary number front extract messages, proved appreciable increase...