Yufei Ma

ORCID: 0000-0003-2175-7961
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About
Contact & Profiles
Research Areas
  • Water resources management and optimization
  • Water-Energy-Food Nexus Studies
  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Reservoir Engineering and Simulation Methods
  • Water Systems and Optimization
  • Smart Grid and Power Systems
  • Electric Power System Optimization
  • Climate variability and models
  • Energy Load and Power Forecasting
  • Advanced Sensor and Control Systems
  • Smart Grid Security and Resilience
  • Hydrology and Drought Analysis
  • Precipitation Measurement and Analysis
  • Meteorological Phenomena and Simulations
  • Power Systems and Renewable Energy
  • Efficiency Analysis Using DEA
  • Maritime Ports and Logistics
  • Plant Water Relations and Carbon Dynamics
  • Adaptive Dynamic Programming Control
  • Urban and Freight Transport Logistics
  • Dam Engineering and Safety
  • Military Defense Systems Analysis
  • Advanced Research in Science and Engineering
  • Power Systems and Technologies

Harbin University of Commerce
2024

Nanjing Hydraulic Research Institute
2024

Northeast Electric Power University
2024

Hohai University
2017-2022

PLA Army Engineering University
2017

PLA Army Service Academy
2012

Abstract Forecast errors of multiple information sources a cascade hydropower system cause risks water and energy supply in real‐time operation. Mechanisms minimizing with budgeted cost under oscillations forecast uncertainties through robust operation are not yet well‐investigated. This study proposed multiobjective optimization (RO) decision‐making framework comprising series models for risk analysis, control, decision making. The analysis model identifies analyzes dependent that stem from...

10.1029/2021wr030965 article EN Water Resources Research 2022-03-22

Flood water conservation realized through real-time multireservoir operations is effective in mitigating scarcity. Owing to the influence of inflow forecast uncertainty, determining an informed operation plan necessitates resolution conflict between upstream flood risk, downstream and scarcity risk. This study developed a multiobjective stochastic programming with recourses (MOSP) model seek robust risk-averse plans under multiple risks. In proposed approach, errors are modeled sampled as...

10.1016/j.jhydrol.2020.125513 article EN cc-by-nc-nd Journal of Hydrology 2020-09-09

The Sichuan-Chongqing area in China has complex basin topography and is known for its extremely hot summer weather. In this paper, the mesoscale model WRF version 3.6.1 was used to simulate a period of 1–10 days advance weather that occurred on August 10, 2006, investigate effect six different land surface schemes (LSSs) (SLAB, RUC, PX, NOAH, NOAH_MP, CLM4) short- medium-range simulations high temperatures. simulated air temperatures (SATs) are sensitive LSSs simulation lengths....

10.1155/2017/9545896 article EN cc-by Advances in Meteorology 2017-01-01

Involvement in the operation of a multiobjective and multistakeholder hydropower system requires balancing conflicting objectives coordinating economic gains to achieve win–win situation through joint operation. This study developed integrated models optimization synergistic revenue allocation multistakeholders resolve conflicts. The model coupled with technique for order preference by similarity ideal solution method determines noninferior compromising social (water delivery flood control),...

10.1061/(asce)wr.1943-5452.0001291 article EN Journal of Water Resources Planning and Management 2020-09-03

10.1109/cieec60922.2024.10583251 article EN 2022 IEEE 5th International Electrical and Energy Conference (CIEEC) 2024-05-10

Abstract The inherent uncertainty in hydrological forecasting poses a challenge for reservoir real-time optimal operation. In this paper, stochastic framework is proposed to track the propagation process between and simulates comprehensive of forecasts form ensemble scenario trees. Based on derived analytic relationship performance metric Nash-Sutcliffe efficiency coefficient (NSE) forecast probability distribution, we use three methods (two are commonly used classical one Gaussian copula...

10.21203/rs.3.rs-513460/v1 preprint EN cc-by Research Square (Research Square) 2021-05-25
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