- Transportation and Mobility Innovations
- Electric Vehicles and Infrastructure
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Advanced Battery Technologies Research
- Power Systems and Renewable Energy
- Transportation Planning and Optimization
- Advanced SAR Imaging Techniques
- Electric Motor Design and Analysis
- Vehicle Routing Optimization Methods
- Urban and Freight Transport Logistics
- Advanced Control Systems Optimization
- Traffic Prediction and Management Techniques
- Advanced Sensor and Control Systems
- Iterative Learning Control Systems
- Advanced Decision-Making Techniques
- Supply Chain and Inventory Management
- Advanced Algorithms and Applications
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Islanding Detection in Power Systems
- Sharing Economy and Platforms
- Consumer Market Behavior and Pricing
- Smart Grid and Power Systems
- Membrane Separation Technologies
- Hydraulic and Pneumatic Systems
Tsinghua University
2015-2025
McGill University
2017-2024
Guangdong University of Finance
2019-2024
Guangdong University Of Finances and Economics
2013-2024
China Telecom (China)
2024
Hangzhou City University
2024
Wuhan University
2024
China University of Petroleum, Beijing
2024
State Key Laboratory of Chemical Engineering
2024
Tianjin University
2024
Two socioeconomic transformations, namely, the booms in sharing economy and retail e-commerce, lead to prospect where shared mobility of passenger cars prevails throughout urban areas for home delivery services. Logistics service providers as well local governments are need evaluating potentially substantial impacts this mode shift, given their economic objectives environmental concerns. This paper addresses by providing new logistics planning models managerial insights. These characterize...
This work focuses on the development of a supervisory model predictive control method for optimal management and operation hybrid standalone wind-solar energy generation systems. We design system via which computes power references wind solar subsystems at each sampling time while minimizing suitable cost function. The are sent to two local controllers drive requested references. discuss how incorporate practical considerations, example, extend life equipment by reducing peak values inrush...
This paper studies siting and sizing of plug-in electric vehicle (PEV) fast-charging stations on coupled transportation power networks. We develop a closed-form service rate model highway PEV charging stations' abilities, which considers heterogeneous driving ranges demands.We utilize modified capacitated flow refueling location (CFRLM) to explicitly capture time-varying demands the network under range constraints. explore extra constraints CFRLM enhance accuracy computational efficiency.We...
This paper presents a hierarchical optimal control framework to coordinate the charging of plug-in electric vehicles in multifamily dwellings. A particular scenario is considered where distributed urban residential communities access power supplies through common primary distribution transformer. We first formulate centralized finite-horizon problem. The proposed multistage mixed-integer program seeks maximize total utility service provider while satisfying customers' charge demands and...
We are entering an era of great expectations towards our cities. The vision “smart city” has been pursued worldwide to transform urban habitats into superior efficiency, quality, and sustainability. This phenomenon prompts us ponder what role the scholars in operations management (OM) can assume. In this essay, we express initial thoughts on expanding OM smart‐city scope. review initiatives governments, industry, national laboratories academia. argue that movement will transition from...
Integration of plug-in electric vehicles (PEVs) with distributed renewable power sources will reduce PEVs' well-to-wheels greenhouse gas emissions, promote adoption, and defer system investments. This paper proposes a multidisciplinary approach to jointly plan PEV charging stations photovoltaic (PV) plants on coupled transportation network. We formulate two-stage stochastic programming model determine the sites sizes of: 1) 2) PV plants. proposed method incorporates comprehensive models...
Battery swapping for electric vehicle refueling is reviving and thriving. Despite a captivating sustainable future where batteries will be as convenient gas today, tension mounting in practice (beyond the traditional “range anxiety” issue): On one hand, it desirable to maximize battery proximity availability customers. other capacitated urban power grids may curb decentralized charging at slow speed. To reconcile this tension, some cities are embracing an emerging infrastructure network:...
In this work, we design a distributed supervisory model predictive control (MPC) system for optimal management and operation of wind solar energy generation systems integrated into the electrical grid to facilitate development so-called "smart grid". We consider topology in which two spatially systems, subsystem subsystem, are DC power grid, providing local area, each is coupled with an storage device. A MPC optimization problem first formulated take account optimality considerations on...
In this work, we design a supervisory control system via model predictive (MPC) for the optimal management and operation of an integrated wind-solar energy generation reverse-osmosis (RO) water desalination system. The MPC is able to coordinate wind solar subsystems as well battery bank provide enough RO subsystem so that desalinated can be produced satisfy consumption storage demands. Optimality considerations on savings are also taken into account appropriate constraints in controller...
Detecting an anomaly such as a malignant tumor or nodule from medical images including mammogram, CT PET is still ongoing research problem drawing lot of attention with applications in diagnosis. A conventional way to address this learn discriminative model using training datasets negative and positive samples. The learned can be used classify testing sample into class. However, applications, the high unbalance between samples poses difficulty for learning algorithms, they will biased...
Regions with abundant wind resources usually have no ready access to the existing electric grid. However, building transmission lines that instantaneously deliver all geographically distributed energy can be costly. Energy storage (ES) systems help reduce cost of bridging farms and grids mitigate intermittency outputs. In this paper, we propose models network planning colocation ES systems. Our determine sizes sites as well associated topology capacity under feed-in-tariff policy instrument....
A Multi-Depot Green Vehicle Routing Problem (MDGVRP) is considered in this paper. In MDGVRP, Alternative Fuel-powered Vehicles (AFVs) start from different depots, serve customers, and, at the end, return to original depots. The limited fuel tank capacity of AFVs forces them visit Fuel Stations (AFS) for refueling. objective minimize total carbon emissions. Two-stage Ant Colony System (TSACS) proposed find a feasible and acceptable solution NP-hard (Non-deterministic polynomial-time)...
The synthesis of chiral ketones has been a long focus chemistry research. Enantioselective radical hydroacylation, as useful strategy to access various ketones, was restricted the reaction with β-substituted alkenes, in which β-stereocenter generated via stereocontrolled addition prochiral alkene. Herein, we realized highly enantioselective hydroacylation α-substituted α,β-unsaturated carbonyl compounds through direct hydrogen atom transfer presence photocatalyst anthraquinone and...
Edge computing provides physical resources closer to end users, becoming a good complement cloud computing. With the rapid development of container technology and microservice architecture, orchestration has become hot issue. However, container-based scheduling problem in edge is still urgent be solved. In this paper, we first formulate as multi-objective optimization problem, aiming optimize network latency among microservices, reliability applications load balancing cluster. We further...
Software defined networks brings greater flexibility to and therefore generates new vitality. Thanks the ability update soft code sensor nodes, wireless (WSNs) profound changes Internet of Things. However, it is a challenging issue minimize delay transmission times maintain long lifetime when broadcasting data packets in high loss ratio low duty cycle WSNs. Although there have been some research concerning dissemination, those schemes can only achieve tradeoff between different performances,...
Problem definition: We develop a crossdisciplinary analytics framework to understand citywide mobility-energy synergy. In particular, we investigate the potential of shared autonomous electric vehicles (SAEVs) for improving self-sufficiency and resilience solar-powered urban microgrids. Academic/practical relevance: Our work is motivated by ever-increasing interconnection energy mobility service systems at scale. propose models characterize dynamics SAEV-microgrid systems, which were largely...
Problem definition: Drones, despite being acknowledged as a transformative force in the city logistics sector, are unable to execute last-meter delivery (unloading goods directly customers' doorsteps) due airspace restrictions and safety concerns. To leverage advancements overcome limitations of drones providing intra-city express services, we introduce coordinated drone-courier system where operate within closed network among vertiports, while couriers connect customers drone system. This...
Problem definition: Drones, despite being acknowledged as a transformative force in the city logistics sector, are unable to execute \textit{last-meter delivery} (unloading goods directly customers' doorsteps) due airspace restrictions and safety concerns. To leverage advancements overcome limitations of drones providing intra-city express services, we introduce coordinated drone-courier system where operate within closed network among vertiports, while couriers connect customers drone...
City dwellers often struggle with on-street parking in many cities, where they generally need to pay for advance. However, drivers usually cannot accurately foresee how much time need. Compared traditional payment methods, that is, cash and credit card through on-site meters, mobile applications provide more flexibility: can adjust their sessions remotely if a longer stay is Utilizing data from an online survey high-resolution transaction records provided by municipal agency densely...
Urban road networks are prone to disruptions that can result in localized congestion or even complete interruptions, thereby causing delays conventional logistics distribution. To mitigate this issue, the present study proposes a dynamic deployment model and task planning methodology for vehicle–drone collaborative delivery areas affected by disruptions. Utilizing complex network theory, framework identifying node vulnerabilities within is established. Furthermore, selecting drone take-off...