Search Results - "Yongxin Su"

Simulation planning of power supply capacity: an approach to optimal industrial microgrid operation with carbon emission permits by Tan, Mao, Chen, Yong, Su, Yongxin, Duan, Bin

“…Microgrids integrated with distributed generation provide energy intensive enterprises (EIEs) with a solution to cut down their total system costs. However,…”
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An active security defense strategy for wind farm based on automated decision by Jun Lai, Bin Duan, Yongxin Su, Lan Li, Qiaoxuan Yin

“…With the development of smart grid, information and energy integrate deeply. For remote monitoring and cluster management, SCADA system of wind farm should be…”
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An interval optimization strategy of household multi-energy system considering tolerance degree and integrated demand response by Su, Yongxin, Zhou, Yao, Tan, Mao

“…•Gas-electric equipment is modeled in household multi-energy system.•Electricity and natural gas dynamic switching to response to electricity price.•Interval…”
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Ultra-Short-Term Industrial Power Demand Forecasting Using LSTM Based Hybrid Ensemble Learning by Tan, Mao, Yuan, Siping, Li, Shuaihu, Su, Yongxin, Li, Hui, He, Feng He

“…Power demand forecasting with high accuracy is a guarantee to keep the balance between power supply and demand. Due to strong volatility of industrial power…”
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A multi-task learning method for multi-energy load forecasting based on synthesis correlation analysis and load participation factor by Tan, Mao, Liao, Chengchen, Chen, Jie, Cao, Yijia, Wang, Rui, Su, Yongxin

“…Multi-energy load forecasting is the prerequisite for energy management and optimal scheduling of integrated energy systems (IES). Considering the randomness…”
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YOLO-FaceV2: A scale and occlusion aware face detector by Yu, Ziping, Huang, Hongbo, Chen, Weijun, Su, Yongxin, Liu, Yahui, Wang, Xiuying

“…In recent years, face detection algorithms based on deep learning have made great progress. Nevertheless, the effective utilization of face detectors for small…”
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A residential load forecasting method for multi-attribute adversarial learning considering multi-source uncertainties by Su, Yongxin, He, Qiyao, Chen, Jie, Tan, Mao

“…•Fusing uncertainties divide-and-conquer and multi-attribute adversarial learning.•Design a divide-and-conquer mechanism for multi-source uncertainties…”
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Dynamics, synchronization and circuit implementation of a simple fractional-order chaotic system with hidden attractors by Wang, Mengjiao, Liao, Xiaohan, Deng, Yong, Li, Zhijun, Su, Yongxin, Zeng, Yicheng

“…A simple 4-D fractional-order chaotic system with hidden attractors is studied in this paper. Such a simple system can display distinguished dynamical…”
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Integrating Graph Signal Processing and Multitask Temporal Convolutional Networks for Household Nonintrusive Load Monitoring by Su, Yongxin, Peng, Haotian, Tan, Mao, Chen, Jie

“…Highly accurate nonintrusive load monitoring (NILM) models are essential for energy management, optimization decisions, and system monitoring. However, the…”
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Fusing domain knowledge and reinforcement learning for home integrated demand response online optimization by Zhang, Zhiyao, Su, Yongxin, Tan, Mao, Cao, Rui

“…Electricity–gas integrated household energy systems (HESs) expose obvious system uncertainties, requiring their integrated demand response (IDR) programs to be…”
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Dual time-scale robust optimization for energy management of distributed energy community considering source-load uncertainty by Tan, Mao, Li, Zibin, Su, Yongxin, Ren, Yuling, Wang, Ling, Wang, Rui

“…The uncertainty of the renewable energy output and load demand poses significant challenges to the efficiency and stability of energy community operation. To…”
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Energy management for scalable battery swapping stations: A deep reinforcement learning and mathematical optimization cascade approach by Su, Yongxin, Yue, Shuaixian, Qiu, Lei, Chen, Jie, Wang, Rui, Tan, Mao

“…The rapid growth of electric vehicles is driving the expansion of scalable Battery Swapping Stations (BSSs) to meet the demand for fast charging. However,…”
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Bi-level optimization of charging scheduling of a battery swap station based on deep reinforcement learning by Tan, Mao, Dai, Zhuocen, Su, Yongxin, Chen, Caixue, Wang, Ling, Chen, Jie

“…With the rapid increase of in the number of electric vehicle (EV), battery swapping is becoming a promising idea because of its short service waiting time…”
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Federated Reinforcement Learning for smart and privacy-preserving energy management of residential microgrids clusters by Tan, Mao, Zhao, Jie, Liu, Xiao, Su, Yongxin, Wang, Ling, Wang, Rui, Dai, Zhuocen

“…Real-time energy management optimizes energy utilization and manages electrical loads, which is crucial for improving the operational efficiency of residential…”
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Enzymatic hydrolyzation of mogrosides in Luo Han Guo extract by NKA-adsorbed snailase improves its sensory profile by Su, Yongxin, Li, Zhenlin, Zhao, Yinghui, Chen, Yijun, Luo, Chen, Wu, Xuri

“…[Display omitted] •Snailase can improve the taste of LHG extract that suffers from an aftertaste.•NKA-adsorbed snailase was superior to modify LHG extract.•A…”
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Efficient snailase-based production of mogrol from Luo Han Guo extract in an aqueous-organic system by Zhao, Yinghui, Su, Yongxin, Li, Zhenlin, Luo, Chen, Chen, Yijun, Wu, Xuri

“…To solve the insufficient availability of mogrol, an 11α-hydroxy aglycone of mogrosides in Siraitia grosvenorii, snailase was employed as the enzyme to…”
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Nonintrusive Load Identification Considering Unknown Load Based on Bimodal Fusion and One-Class Classification by Xiao, Jun, Tan, Mao, Pan, Rui, Su, Yongxin, Li, Ting, Xu, Zhenxuan

“…Nonintrusive load monitoring (NILM) enables the real-time monitoring and data analysis of energy consumption, providing more accurate, efficient, and…”
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Non-Intrusive Load Identification Considering Unknown Load Based on Bi-Modal Fusion and One-Class Classification by Xiao, Jun, Tan, Mao, Pan, Rui, Su, Yongxin, Li, Ting, Xu, Zhenxuan

“…Non-intrusive load monitoring (NILM) enables the real-time monitoring and data analysis of energy consumption, providing more accurate, efficient and…”
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Integrating few-shot personalized thermal comfort model and reinforcement learning for HVAC demand response optimization by Su, Yongxin, Zou, Xiaohua, Tan, Mao, Peng, Hanmei, Chen, Jie

“…Heating, ventilation, and air conditioning (HVAC) is the most common equipment to maintain personalized thermal comfort (PTC), and a valuable demand response…”
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Fault detection and location of microgrid based on distributed decision by Penglei Liu, Yalian Wu, Yongxin Su, Bin Duan

“…As more and more distributed power is integrated into the micro grid, fault detection and localization become more complex. This paper considers the integrity…”
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