A5101417443- Smart Grid Energy Management
- Microgrid Control and Optimization
- Advanced Memory and Neural Computing
- Smart Grid Security and Resilience
- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Ferroelectric and Negative Capacitance Devices
- Energy Load and Power Forecasting
- Plant Disease Resistance and Genetics
- Plant nutrient uptake and metabolism
- Non-Destructive Testing Techniques
- Building Energy and Comfort Optimization
- Soil Carbon and Nitrogen Dynamics
- Real-time simulation and control systems
- Crop Yield and Soil Fertility
- Wind Turbine Control Systems
- Power System Optimization and Stability
- Microbial Metabolites in Food Biotechnology
- Hybrid Renewable Energy Systems
- Polymer-Based Agricultural Enhancements
- Elevator Systems and Control
- Time Series Analysis and Forecasting
- Plant Pathogens and Resistance
- GABA and Rice Research
- Optimal Power Flow Distribution
Zhejiang Lab
2021-2025
North Carolina State University
2016-2022
Institute of Microelectronics
2021
Chinese Academy of Sciences
2021
Tianjin University
2020
China Tobacco
2012
This paper presents a hierarchical control framework for implementing primary frequency regulation (PFR) by using residential heating, ventilating, and air-conditioning (HVAC) loads. The proposed system consists of load aggregator, central controller, group local controllers. aggregator is responsible managing population HVAC loads as virtual generator to participate in reserve market. controller dispatches the assigning triggering each load. A temperature-priority-list method applied avoid...
This paper presents the modeling of combined heat and power (CHP) systems for microgrid applications. When generating electricity, a CHP unit can recycle waste to supply building thermal loads improve overall efficiency traditional generation system. The ramping capability makes it an ideal resource load following frequency regulation in operation. In this paper, model built Simulink is developed. includes three key components: generator, turbine, absorption chiller. A new isochronous...
Parallel and energy-efficient searching of the shortest paths on a large graph is challenging. Conventional methods commonly used are sequential computing intensive, rendering them inadequate for addressing large-scale real-time situations. Here, we propose highly parallel, computation- approach to path–based learning based an emerging memristor spiking neural network via algorithm-device codesign. The path obtained parallelly in nature using simultaneous spike traveling instead arithmetic...
Nitrate accumulation in tobacco (Nicotiana tabacum L.) leaf, particularly the burley (BU) type, is a reservoir for generation of nitrosating agents responsible formation tobacco-specific nitrosamines (TSNAs). TSNAs are mainly produced via nitrosation alkaloids occurring during curing leaves. Additional may also occur storage, leaf processing and some circumstances pyrosynthesis combustion. Two TSNA species, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) N-nitrosonornicotine (NNN) found...
It is an important but challenging issue to represent a wind farm using equivalent model. This paper tries develop representation of for power system planning and operation studies Thevenin circuit. In the paper, series string configuration farms with doubly-fed induction generator (DFIG) turbines emphasized, case have been conducted investigate characteristics parameters such under different control strategies speeds. Simulation results show that are strongly related speed, particularly...
This paper discusses the effect of load change on Thevenin equivalent impedance power systems. In this paper, influenced by derivative active with respect to reactive (dP dQ) is analyzed. The forms a closed curve in complex plane and shrinks one point when voltage collapses. magnitude at collapse equal impedance. Therefore, match theory still holds under change. These features are verified New England 39-bus system.
In this work, we demonstrate a flexible NbO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> -based memristor for spiking neuron implementation. The , device exhibits stable threshold switching behavior and superior bending capability with curvature radius of 2.5 mm. Based on such device, build Leaky Integrate-and-Fire achieve four basic features: all-or-nothing, threshold-driven spiking, refractory period, strength-modulated frequency...
This paper introduces a controller hardware-in-the-loop (HIL) microgrid testbed that is built to allow not only dynamic validation, but performance evaluation of community controllers. The metrics and methodology are developed related efficiency, greenhouse gas (GHG) emission, economics reliability. real-time model adapt extended time-domain simulation includes the voltage frequency dynamics components. A hybrid configuration described demonstrate capability integration, testing automation...
Urban traffic time series pattern recognition is mainly based on two methods: Distance calculation and feature extraction. The results distance are affected by the non-linear features of series, it also difficult to extract multi-time period Shapelet sub-sequences extraction algorithm. Therefore, in order accurately identify data urban index, a method for convolutional neural network(CNN) was proposed. Firstly, pre-processed transformed into N-dimensional matrix determine input network...
A combined heat and power (CHP) unit can use its waste to supply building thermal loads so that the electrical heating or cooling load is reduced overall efficiency improved. When multiple CHP units are running in a microgrid, it therefore critical balance output of each both electricity consumption be satisfied with least cost. This paper presents an optimal microgrid dispatch algorithm for scheduling gas-fired when disconnected from main grid. coordination controller developed determine...
This paper presents the forecasting algorithms for determining electricity usage and operation status of residential heating, ventilating, air conditioning (HVAC) systems. Two are presented based on what types measured data can be received by home energy management system (HEMS). Algorithm 1 is developed assuming only HVAC available to forecast future usage. 2 cases that status, room temperature outdoor time series known. The sensitivity change rate derived used status. Results show performs...
Electrical Tomography imaging (ETI) is an advanced visualization technique, which can reconstruct all targets in investigated field based on boundary measurements. The sensitivity matrix plays a critical role ETI process, but cannot be effectively determined by the existing method. In paper, convolutional neural network (CNN) used to train matrix, where measurements frame of image are regarded as two-dimensional input vector and selected error criterions real model output. view main factors...