- Energy Load and Power Forecasting
- Microgrid Control and Optimization
- Power Systems and Renewable Energy
- Smart Grid Energy Management
- Power Systems and Technologies
- Solar Radiation and Photovoltaics
- Smart Grid and Power Systems
- Photovoltaic System Optimization Techniques
- Urban Heat Island Mitigation
- Building Energy and Comfort Optimization
- Monoclonal and Polyclonal Antibodies Research
- Software System Performance and Reliability
- Energy Efficiency and Management
- High-Voltage Power Transmission Systems
- Artificial Intelligence in Healthcare
- Energy and Environment Impacts
- Protein purification and stability
- Advanced Battery Technologies Research
- Energy, Environment, and Transportation Policies
- Wastewater Treatment and Nitrogen Removal
- Machine Learning in Healthcare
- Landslides and related hazards
- Distributed systems and fault tolerance
- Grey System Theory Applications
- Power System Optimization and Stability
NARI Group (China)
2024
State Grid Corporation of China (China)
2023-2024
Shandong University
2023-2024
Shandong Provincial Hospital
2024
Shandong First Medical University
2024
WuXi AppTec (China)
2024
China Medical University
2024
State Grid Hebei Electric Power Company
2023
Lanzhou University
2022
Beijing Institute of Technology
2021
Due to the intermittency and randomness of solar photovoltaic (PV) power, it is difficult for system operators dispatch PV power stations. In order find a precise expectation day-ahead generation, conventional models have taken into consideration temperature, humidity, wind speed data forecasting, but these predictions were always not accurate enough under extreme weather conditions. Aerosol index (AI), which indicates particulate matter in atmosphere, has been found strong linear...
Abstract Accurately forecasting regional distributed photovoltaic (DPV) power is crucial in mitigating the negative impact of high DPV penetration on reliability and resilience distribution network. However, most current methods suffer from two key problems: (1) ignoring asymmetric influence relationship among sites; (2) lack consideration dynamic spatiotemporal correlation sites. As a result, these are unable to fully adapt characteristics DPV, making it challenging directly apply existing...
In order to solve the problems of traditional centralized trading platforms being difficult handle rapidly increasing transaction data, achieving cross regional information sharing and resource unified optimization configuration, author proposes construction a power market platform based on blockchain technology. This technology is energy architecture, designs decentralized cloud storage model, further refines three-layer technical architecture business layer, middleware, open license chain,...
The day-ahead demand response (DR) potential forecasting can provide reference information for load aggregators (LAs) to participate in bidding offers the electricity market and reduce decision-making risks. However, most of current DR methods have following two problems: 1) lack consideration spatial correlation between different customers; 2) causal relationships input feature nodes. When there are drastic changes potential, critical may not be utilized effectively, resulting poor...
Different window design schemes have different effects on heating, cooling, lighting energy consumption and indoor thermal comfort. This research established four scenarios, considering variables, such as: to wall ratio, glazing type, overhang fin depth, maximum minimum outdoor temperature setpoint for opening factor, minimize discomfortable hours. Sensitivity analysis was carried out prior optimization compare the sensitivity of each variable objectives. Through based non-dominated sorting...
In recent years, the installed capacity of photovoltaic (PV) power keeps increasing rapidly. However, typical control objective PV system is to provide as much active possible, ignoring reactive operating characteristics inverters. On this basis, an and coordinated method suitable for electromechanical transient stability analysis proposed in paper. Firstly, mathematical model inverters established. Then, a novel based on improved double-loop scheme proposed, according steady-state limits...
Accurate distributed photovoltaic power prediction plays a crucial role in supporting retailers making optimal trading strategies and distribution network operators reasonable scheduling plans. The mining utilization of correlation is an effective way to improve the forecasting accuracy target station. However, current methods must rely on data sharing mining, which may lead serious privacy problems. In order protect during modeling while ensuring spatiotemporal correlations, federated...
Abstract Energy Internet is a new hot topic in the research of industry and academia at home abroad. It also development direction energy industry, it possible to innovate way human life. The paper summarized concept connotation by surveying domestic international Energy. information technology architecture reviewed from perspective integration system technology. This article described characteristics power line carrier communication, analyzed role status communication challenges...
This paper introduces energy storage technology in Power Grid. Firstly, it briefly expounds the significance and value of research Grid, analyzes role it. Then this various types such as superconducting magnetic storage, super capacitor sodium sulfur battery, lithium ion, flow battery technology, discusses their advantages disadvantages. Demands on Grid are also summarized. And focuses status power grid. Finally, both some existing problems future development trend grid presented.
Catastrophic failures often occur to engineered infrastructure in areas underlain by saturated loess due its high moisture content (degree of saturation >85%), low shear strength, and large deformation. Time effect (rheological property) water are the most important factors affecting mechanical properties loess. The rheological mechanism characteristics vital understanding interaction between foundation trigger failures. Based on step-load testing, this study obtains displacement-time...
Self-shading building form has a significant influence on indoor solar gains and energy performance. This paper presented methodology for quantifying self-shading forms, which categorized them into three types: inclined, cantilevered, hybrid (inclined cantilevered). The prediction model the quantitative indexes heat through windows was established regression analysis, while of proposed forms performance in different climatic regions China evaluated compared. Results suggest that...
Energy-intensive industrial loads as one part of demand response have been applied in frequency regulation power systems, due to their advantages large adjustable capacity, easy control and good communication conditions. The study introduces an efficient scheme for primary isolated systems with substantial wind usage, utilizing the high-energy from aluminum smelting electric heating boilers. This approach is designed be cost-effective, leveraging these specific enhanced stability significant...
Abstract The manufacturability assessment and optimization of bispecific antibodies (bsAbs) during the discovery stage are crucial for success drug development process, impacting speed cost advancing such therapeutics to Investigational New Drug (IND) ultimately market. complexity bsAbs creates challenges in employing effective evaluation methods detect developability risks early stage, poses difficulties identifying root causes implementing subsequent engineering solutions. This study...
Abstract The assessment of customer electricity demand potential is a critical part further stimulating growth and promoting utility development. main aim this paper to investigate how response can be assessed under uncertainty. decision variables are set through two-stage stochastic planning model, focusing on fuzzy decision-making linear programming in interval planning, combining with consequent opportunity constraint realize artificial regulation unfavorable factors, finally completing...
With the rapid development of artificial intelligence technology, large language models are increasingly applied in power industry, providing strong support for intelligent management systems. This paper proposes an evaluation system domain, aiming to evaluate their performance and limitations solving specific tasks within industry. Through testing on dataset, we analyzed both general domain The experimental results show that domain-adapted model should balance industry-specific capabilities...
Cerebral white matter hyperintensity (WMH) is a pivotal imaging feature of cerebral small vessel disease (CSVD), closely correlated with an elevated risk ischemic stroke (IS). Trimethylamine N-oxide (TMAO), metabolite gut microbiota, increasingly associated IS and atherosclerosis. However, the intricate relationship between TMAO WMH remains ambiguous. This study aimed to connection plasma WMH. Furthermore, it assessed potential as evaluation instrument for In this cross-sectional study, we...
This paper introduces the control strategy of energy storage inverter. Firstly, it briefly expounds background and significance research on inverter's strategies. Then this current situation inverter its at home abroad. It focuses several basic strategies microgrid level level, finally, existing problems future development trend are pointed out.
Research on sequencing batch anaerobic digestion was performed for kitchen waste and its components at 37°C. Biogas production models of flat, cylindrical spherical particulates were proposed analyzed single component. It is shown that the hydrolysis starches, celluloses, fats proteins prefers to follow model cylindrical, flat particulates, respectively. Moreover, biogas spherical, mixed multi-component (kitchen waste). most closely match actual situation before after 24th day, respectively
In order to research power system voltage stability, based on the basic concepts and principles of bifurcation theory, qualitative behavior stability dynamics as modeled by differential algebraic equations is discussed. Bifurcation phenomena effect these bifurcations analysis are overviewed in systems. The application static dynamic studies discussed detail, respectively. Two main kinds bifurcations, that is, saddle-node bifurcation(SNB), Hopf bifurcation(HB) which result instability,...
This article studies the application of information exchange bus which is based on SOA framework, and also mainly elaborates principle work its it all kinds automated system.The bus, as a key technology, solves issue "information isolated island" between electric power production control area management area.The highly stable, secured reliable widely applied in electric-power system by means one 61968 serious standards, standard process wide range requirements optimizing allocation resources.