A5089279497- Integrated Energy Systems Optimization
- Optimal Power Flow Distribution
- Electric Power System Optimization
- Smart Grid Energy Management
- Microgrid Control and Optimization
- Energy Load and Power Forecasting
- Power System Reliability and Maintenance
- Hybrid Renewable Energy Systems
- Power System Optimization and Stability
- Acoustic Wave Resonator Technologies
- Power Systems and Renewable Energy
- Probabilistic and Robust Engineering Design
- Electric Vehicles and Infrastructure
- Building Energy and Comfort Optimization
- Engineering Applied Research
- Process Optimization and Integration
- HVDC Systems and Fault Protection
- Advanced Battery Technologies Research
- Advanced Control Systems Optimization
- Transportation and Mobility Innovations
- Metaheuristic Optimization Algorithms Research
- Advanced MEMS and NEMS Technologies
- Global Energy Security and Policy
- Geothermal Energy Systems and Applications
- Fatigue and fracture mechanics
South China University of Technology
2016-2025
Huzhou University
2025
Shanghai Ocean University
2025
China Southern Power Grid (China)
2024
University of Connecticut
2022
University of Liverpool
2017
Pennsylvania State University
1996-2008
University of Alberta
2005
University of Reading
1999-2001
University of Portsmouth
1997
The piezoelectric and dielectric constants in different crystal orientations of the lead zirconate titanate (PZT) have been phenomenologically calculated for compositions near morphotropic phase boundary at room temperature. For a tetragonal PZT, effective constant d33 monotonously decreases as cutting angle from spontaneous polarization direction [001] increases. However, rhombohedral d33[001]// along perovskite was found to be much larger than those [111]. This orientation-related...
With increasing deployment of distributed energy resources, the market which aims for local generation and load profile redistribution is facing challenge to accommodate various types participants. To realize social welfare maximization with privacy preserving in a dynamic market, this article propose multiagent reinforcement learning (MARL) method quotation decision optimization continuous double auction (CDA)-based peer-to-peer (P2P) market. address nonstationarity violation brought by...
Most of the existing electric vehicle (EV) charging navigation methods do not simultaneously take into account destination optimization and path planning. Moreover, they are unable to provide online real-time decision-making under a variety uncertain factors. To address these problems, this paper first establishes bilevel stochastic model for EV considering various uncertainties, then proposes an method based on hierarchical enhanced deep Q network (HEDQN) solve above in real-time. The...
Multilayer piezoelectric actuators when driven under high frequency, generate significant heat, which influences the reliability and other properties. In this paper, heat generation in various types of multilayer PZT‐based was studied. Experimental results showed that is mainly caused by ferroelectric hysteresis loss stress‐free state. A simplified analytic method established to evaluate temperature rise, useful for design high‐power actuators.
The coordinated operation of an integrated electricity and heating system (IEHS) can improve overall energy efficiency provide additional flexibility. However, the inherent uncertainties pertaining to pipeline parameters ambient temperature in a district network (DHN) have not been addressed literature, although such could affect quality or even security IEHS operation. To address this issue, we propose two-stage robust scheduling model that considers heat load, dissipation coefficients...
This paper proposes a hybrid multi-objective optimization and game-theoretic approach (HMOGTA) to achieve the optimal operation of integrated energy systems (IESs) consisting electricity natural gas (E&G) utility networks, multiple distributed stations (DESs), users (EUs). The HMOGTA aims solve coordinated strategy networks considering demand characteristics DESs EUs. In HMOGTA, hierarchical Stackelberg game model is developed for generating equilibrium strategies EUs in each district...
The emerging machine learning techniques provide great opportunities for optimal operation of chemical systems. This paper presents a Bayesian deep reinforcement method the optimization fluid catalytic cracking (FCC) unit, which is key process in petroleum refining industry. Unlike traditional (RL) methods that use deterministic network weights, neural networks are incorporated to represent RL agent. treatment integrated with primal-dual handle constraints. Simulated experiments FCC...
Accurate solar background noise modeling in island-reef LiDAR surveys is hindered by anisotropic coastal reflectivity and dynamic light paths, which isotropic models fail to address. We propose BNR-B, a bidirectional reflectance distribution function (BRDF)-based model that integrates solar-receiver geometry with micro-facet scattering dynamics. Validated via single-photon field tests on diverse terrains at Jiajing Island, China, BNR-B reveals the following: (1) Solar zenith/azimuth angles...
As more and distributed renewable energy resources connected to electric power grids, the conventional system evolves into an integrated grid (lEG) in order satisfy various types of demands. This paper proposes a model coordinated scheduling (CSoERs) for district heating cooling systems (DHCs) lEG. The takes consideration both dispatchable grid-connected generators resources, such as wind energy, solar natural gas. objective is minimize operation costs lEG not only electrical loads but also...