A5100400737- Energy Load and Power Forecasting
- Grey System Theory Applications
- Smart Grid and Power Systems
- Neural Networks and Applications
- Solar Radiation and Photovoltaics
- Traffic Prediction and Management Techniques
- Electric Power System Optimization
- Gastric Cancer Management and Outcomes
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Power Transformer Diagnostics and Insulation
- Autonomous Vehicle Technology and Safety
- Hydrological Forecasting Using AI
- Air Quality and Health Impacts
- Hybrid Renewable Energy Systems
- Air Quality Monitoring and Forecasting
- Integrated Energy Systems Optimization
- Technology and Security Systems
- Cancer Genomics and Diagnostics
- Power Systems and Technologies
- Bariatric Surgery and Outcomes
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Cancer Cells and Metastasis
- Power Systems and Renewable Energy
- Energy, Environment, and Transportation Policies
- Industrial Vision Systems and Defect Detection
Lanzhou University
2013-2024
Qilu University of Technology
2023
Shandong Academy of Sciences
2023
Northeast Electric Power University
2022
Leshan Normal University
2018
Idiopathic Pulmonary Fibrosis (IPF) is identifiable by the excessive increase of mesenchyme paired with loss epithelium. Total flavonoids Astragalus (TFA), main biologically active ingredient traditional Chinese medicine, membranaceus (Huangqi), shows outstanding effects on treating pulmonary disorders, including COVID-19-associated dysfunctions. This study was designed to evaluate efficacy TFA fibrosis and possible mechanisms behind these effects. A549 cells were treated TGF-[Formula: see...
Abstract Accurate power load prediction is an important guide for system planning and operation. High‐ or low‐load results will affect the operation of system. In recent years, deep learning technology represented by convolution neural network (CNN) transformer has been proved to be suitable prediction. This paper proposes a new short‐term hybrid forecasting model, called channel enhanced attention (CEA) temporal convolutional (TCN)‐based comprehensive model. method combines feature...
With the continuous development of global electricity market, market needs price forecasting result to be accurate, and also has more profound practical significance. Accurate can not only better reflect operation but help make decisions about market. However, is affected by a variety uncertain subjective objective factors, as well constraints power system, making it difficult obtain accurate than load forecasting. The kernel function occupies very important position in support vector...
This paper focuses on electricity load forecasting of large-scale electrical grid. The smart grid is developing rapidly in the half-decade; it becomes new goal industrial construction. Stability, reliable, flexible and self-cure are main characters, accuracy power play an important role this process In paper, we take Estonia country as a case, convert data to supervised learning data, then use long short-term memory (LSTM) recurrent network do training model forecasting. experiment...
As the key metering equipment in smart grid, measurement accuracy and stability of electronic transformer are important for normal operation power system. In order to solve problem that there is no effective way predict error developing trend transformer, this paper proposed two kinds short-term prediction methods based on backpropagation neural network Prophet model, respectively. First, preprocessing visualization performed original data. Then, data fitting made basis results compared...
Objective To review the efficacies of sleeve gastrectomy and Roux-en-Y gastric bypass for treatment type 2 diabetes mellitus.Methods The Cochrane library,PubMed,China Journal Full Text Database,Chinese Scientific Biomedical Literature Database Wanfang were searched with key words including“减重手术”,“胃切除术”,“胃绕道术”,“胃旁路手术”,“胃转流术”,“胃袖状切除术”,“糖尿病”,“bariatric surgery”,“gastric bypass”,“sleeve gastrectomy”,“diabetes,T2DM et al.Literatures published between time database establishment December 2012...
This article studies the application of big data methods in distribution reliability prediction, proposes a network evaluation method based on data, and conducts simulation verification. Firstly, background significance research were introduced. Secondly, technology analysis was introduced, including modeling load transfer after faults, optimization model transfer, power supply reliability. Finally, effect proposed improving verified through examples.
Abstract In order to effectively evaluate the impact of wind power connection on operation colding-heating-electricity interconnection system, a probabilistic energy flow calculation method based semi-invariant and improved K-means is proposed. First, joint system model was established. Secondly, method, an clustering technique proposed solve problems caused by different input random sample types. Finally, efficiency verified simulation.
Abstract Air pollution control is significant to promote the smooth implementation of air treatment and reduce related loss life property. Reliable accurate prediction can provide data support theoretical for control. Therefore, it great significance establish reliable early warning system. Moreover, quality index (AQI) a comprehensive environmental pollutant monitoring index. this research proposes nonlinear combination based on variational mode decomposition (VMD), generalized additive...
Under the background of "dual carbon" strategy and rapid response, Shanxi Province formulated carbon work implementation opinions" peak plan, actively promoted energy transformation upgrading, explored path. Based on theory low-carbon economy, it is found that total consumption still in a growing state, necessary to control improve efficiency realize consumption. On one hand, should utilization fossil energy, reduce footprint industrial production, use technology recycling services...