A5010851556- Risk and Portfolio Optimization
- Electric Power System Optimization
- Wind Energy Research and Development
- Energy Load and Power Forecasting
- Supercapacitor Materials and Fabrication
- Probabilistic and Robust Engineering Design
- Capital Investment and Risk Analysis
- Stochastic processes and financial applications
- Bayesian Methods and Mixture Models
- Wind and Air Flow Studies
- Icing and De-icing Technologies
- Advanced Manufacturing and Logistics Optimization
- Solar Radiation and Photovoltaics
- Smart Grid Energy Management
- Advanced Clustering Algorithms Research
- Water Quality Monitoring Technologies
- Monetary Policy and Economic Impact
- Gaussian Processes and Bayesian Inference
- Distributed Sensor Networks and Detection Algorithms
- UAV Applications and Optimization
- Advanced battery technologies research
- Advancements in Battery Materials
- Energy Efficient Wireless Sensor Networks
- Smart Parking Systems Research
- IoT and Edge/Fog Computing
Louisiana State University
2019-2023
Louisiana State University Agricultural Center
2022
Huazhong University of Science and Technology
2017-2020
Institute of Mechanics
2020
Chinese Academy of Sciences
2020
In this paper, we investigate the joint problem of task offloading, Unmanned Aerial Vehicle (UAV) trajectory design, and resource allocation for UAV-enabled edge computing, considering highlighting dependency among different tasks. The corresponding optimization problem, which is a mixed-integer formulated. To solve propose an iterative method based on Block Coordinate Descent (BCD) to decompose original into two subproblems. Given offloading decision allocation, subproblem UAV solved by...
This article presents data-driven nonparametric joint chance constraints (JCCs) for ramp-constrained economic dispatch. Power generated by renewable sources, such as solar farms, is modeled an uncertain parameter that may not belong to any parametric class of probability functions. Thus, transmission line flow limitation, which time-independent constraints, are formulated JCCs over unknown cumulative distribution functions generation sources. In addition, thermal units' time-dependent...
Although data-driven nonparametric Joint Chance Constraints (JCCs) may lead to more reliable decision-making than individual chance constraints, their computational complexity is a major bottleneck. This paper presents computationally efficient joint chance-constrained programming for multi-interval power systems management. Reserve and transmission line constraints are modeled as JCCs. Piecewise uniform kernel functions incorporate historical data of uncertain parameters into optimization....
Uncertainty modeling has a significant role in power system scheduling and operation. This paper presents data-driven non-parametric joint chance-constrained programming model for the economic dispatch problem. Solar generation uncertainties are taken into consideration. Kernel density estimator is used to find probability functions (PDFs) of solar each interval without imposing any assumption on classes PDFs. A chance constraint formulated whole considered horizon take account uncertainty...
A reinforcement learning-enhanced genetic algorithm (RLGA) is proposed for wind farm layout optimization (WFLO) problems. While algorithms (GAs) are among the most effective and accessible methods WFLO, their performance convergence highly sensitive to parameter selections. To address issue, learning (RL) introduced dynamically select optimal parameters throughout GA process. illustrate accuracy efficiency of RLGA, we evaluate WFLO problem four layouts (aligned, staggered, sunflower,...
New energy integration is thought to be one of the most potential solutions support power system with a sustainable infrastructure. However, new an uncertain generation resource, and electricity generated by it has characteristics randomness, intermittency reverse peak regulation. Its large-scale into grid makes operation reliability scheduling more challenging. It was important build wireless sensing monitoring network monitor change trend field (station) in real time. The consumption...