A5064252243- Meteorological Phenomena and Simulations
- Atmospheric and Environmental Gas Dynamics
- Climate variability and models
- Smart Grid and Power Systems
- Advanced Decision-Making Techniques
- Power Systems and Renewable Energy
- Combustion and Detonation Processes
- Blockchain Technology Applications and Security
- Islanding Detection in Power Systems
- Oil Spill Detection and Mitigation
- Electromagnetic Launch and Propulsion Technology
- Capital Investment and Risk Analysis
- Power System Reliability and Maintenance
- Supply Chain Resilience and Risk Management
- Stock Market Forecasting Methods
- Wind and Air Flow Studies
- Energy Load and Power Forecasting
- Power Systems and Technologies
- Transportation Systems and Safety
- Advanced Algorithms and Applications
- Microgrid Control and Optimization
Jilin Jianzhu University
2022
Jilin University
2022
Guizhou Electric Power Design and Research Institute
2020
Beijing Normal University
2014-2015
State Key Laboratory of Remote Sensing Science
2014
Heilongjiang Institute of Technology
2009
Guiyang University
2008
New Technology (Israel)
2007
Beijing Polytechnic
2001
Beijing University of Technology
2001
Abstract. A Global Carbon Assimilation System based on the ensemble Kalman filter (GCAS-EK) is developed for assimilating atmospheric CO2 data into an ecosystem model to simultaneously estimate surface carbon fluxes and distribution. This assimilation approach similar CarbonTracker, but with several new developments, including inclusion of concentration in state vectors, using (EnKF) 1-week windows, analysis states iteratively forecast errors, a maximum likelihood estimation inflation...
Abstract In this paper, a global carbon assimilation system (GCAS) is developed for optimizing the land surface flux at 1° resolution using multiple ecosystem models. GCAS, three models, Boreal Ecosystem Productivity Simulator, Carnegie‐Ames‐Stanford Approach, and Community Atmosphere Biosphere Land Exchange, produce prior fluxes, an atmospheric transport model, Model OZone And Related chemical Tracers, used to calculate CO 2 concentrations resulting from these fluxes. A local ensemble...
Abstract. The ensemble transform Kalman filter (ETKF) assimilation scheme has recently seen rapid development and wide application. As a specific implementation of the (EnKF), ETKF is computationally more efficient than conventional EnKF. However, current still some limitations when observation operator strongly nonlinear. One problem in minimization nonlinear objective function similar to 4D-Var that its tangent-linear have be calculated iteratively if Hessian not preconditioned or several...
Abstract Solar energy resource is highly rich in Inner Mongolia regions, and the customers utilized electric are scattered vast grassland. Thus, distributed generation with its unique performance high quality, has been developed rapidly recent years. However, large-scale power supply brought many unpredictable impacts when they accessed to distribution network, even seriously affecting safe stable operation of network. In this work, technical barriers caused by grid-connected have explored....
In today’s society, calligraphy, which reflects one’s basic writing skills, is becoming more and important to people. People are influenced by calligraphy in their studies, work, etc. Improving skills has become one of the key directions for developing abilities at this stage. As an means improving practice products attracting attention purchases. particular, recent years, as market economy developed a deeper direction, people’s demand diversified product companies have launched variety meet...
Abstract. A Global Carbon Assimilation System based on Ensemble Kalman filter (GCAS-EK) is developed for assimilating atmospheric CO2 abundance data into an ecosystem model to simultaneously estimate the surface carbon fluxes and distribution. This assimilation approach ensemble (EnKF), but with several new developments, including using analysis states iteratively forecast errors, a maximum likelihood estimation of inflation factors observation errors. The proposed tested in observing system...
Abstract The comprehensive construction of the ubiquitous power Internet Things has been determined to current core task by State Grid Company. Power equipment supply chain is an important part things. Its operation efficiency directly related In order solve a series problems in chain, such as lower higher cost and poor stability due characteristics information asymmetry, incompleteness time lag. block technology introduced into grid equipment. A multiple linear regression model established...