A5017037570- Electric Power System Optimization
- Optimal Power Flow Distribution
- Power System Reliability and Maintenance
- Smart Grid Energy Management
- Advanced Graph Theory Research
- Power System Optimization and Stability
- Infrastructure Resilience and Vulnerability Analysis
- Complex Network Analysis Techniques
- VLSI and FPGA Design Techniques
- Complexity and Algorithms in Graphs
- Interconnection Networks and Systems
- Vehicle Routing Optimization Methods
- Water resources management and optimization
- Forest Biomass Utilization and Management
- Microgrid Control and Optimization
- Optimization and Search Problems
- Biofuel production and bioconversion
- Electric Vehicles and Infrastructure
- Mobile Ad Hoc Networks
- Gene expression and cancer classification
- Healthcare Policy and Management
- Opinion Dynamics and Social Influence
- Emergency and Acute Care Studies
- Reliability and Maintenance Optimization
- Probabilistic and Robust Engineering Design
University of Arizona
2016-2025
Hangzhou Dianzi University
2016-2017
Sandia National Laboratories California
2012
Los Alamos National Laboratory
2011-2012
Sandia National Laboratories
2012
University of Florida
2010-2011
Applied Optimization (United States)
2010-2011
Private University in the Principality of Liechtenstein
2011
A growing number of companies install wind and solar generators in their energy‐intensive facilities to attain low‐carbon manufacturing operations. However, there is a lack methodological studies on operating large with intermittent power. This study presents multi‐period, production‐inventory planning model multi‐plant system powered onsite grid renewable energy. Our goal determine the production quantity, stock level, energy supply each period such that aggregate cost (including energy)...
In this paper, a face recognition method based on Convolution Neural Network (CNN) is presented. This network consists of three convolution layers, two pooling full-connected layers and one Softmax regression layer. Stochastic gradient descent algorithm used to train the feature extractor classifier, which can extract facial features classify them automatically. The Dropout solve over-fitting problem. Architecture For Feature Extraction framework (Caffe) during training testing process. rate...
For self-scheduling cascaded hydropower (S-CHP) facilities, medium-term planning is a critical step that coordinates water availability over the horizon, providing usage guidance for their short-term operations in wholesale market participation. Typically, strategies (e.g., reservoir storage targets at end of each period) are determined by either optimization methods or rules thumb. However, with integration variable renewable energy sources (VRESs), optimization-based suffer from deviations...
We consider the problem of designing (or augmenting) an electric power system at a minimum cost such that it satisfies N-k-ε survivability criterion. This criterion is generalization well-known N-k criterion, and requires least (1-ε <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">j</sub> ) fraction steady-state demand be met after failures j components, for j=0,1,...,k. The network design adds another level complexity to notoriously hard...
Extreme weather events such as droughts have posed a significant risk to the agricultural economy of semi-arid region Southwestern U.S. In this paper, multistage stochastic optimization model is developed for harvest planning and machinery scheduling guayule, perennial woody shrub native region, addresses uncertainty by drought scenarios harvesting in region. We consider various aspects yield crop parameter, time windows quality, multi-machinery scheduling, penalty delayed harvesting,...