Search Results - "Gao, Tianlu"

Individual and cluster demand response in retail electricity trading with end-users in differentiated oligopoly market: A game-theoretical approach by Yan, Jing, Zhang, Jun, Zhang, Luxi, Deng, Changhong, Gao, Tianlu

“…The characterization of the competitive interdependence among power consumers in power trading system contributes to pursuing efficient power supply and…”
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Melting Erosion Failure Mechanism of Tuyere in Blast Furnace by Gao, Tianlu, Jiao, Kexin, Zhang, Jianliang, Ma, Hengbao

“…In this paper, the common damage types of tuyere were sampled and analyzed. Specifically, the element content in tuyere was measured by Inductively Coupled…”
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CPTCFS: CausalPatchTST incorporated causal feature selection model for short-term wind power forecasting of newly built wind farms by Zhao, Hang, Xu, Peidong, Gao, Tianlu, Zhang, Jun Jason, Xu, Jian, Gao, David Wenzhong

“…Wind energy is increasingly vital globally, requiring precise output forecasting for stable, efficient power systems. However, this becomes particularly…”
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Migration Behavior of K, Na, S, Ti in Hearth of a Commercial Blast Furnace by Ma, Hengbao, Liu, Zhengjian, Zhang, Jianliang, Gao, Tianlu, Zong, Yanbing, Guo, Ziyu, Jiao, Kexin

“…In-depth understanding of the existence state and migration behavior of K, Na, S, Ti in the BF hearth is essential to improve the campaign life and optimize…”
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Parallel System Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control by Tianyun Zhang, Jun Zhang, Feiyue Wang, Peidong Xu, Tianlu Gao, Haoran Zhang, Ruiqi Si

“…In artificial intelligence (AI) based-complex power system management and control technology, one of the urgent tasks is to evaluate AI intelligence and invent…”
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Microstructural Characteristics of Copper–Steel Composite Cooling Staves After Long-Term and High-Temperature Service by Shan, Songjian, Zhang, Jianliang, Zong, Yanbing, Yan, Lifeng, Zhang, Lei, Gao, Tianlu, Jiao, Kexin

“…Copper–steel composite cooling stave is an important technology to solve the safety problem of the high heat load area of the blast furnace. The effect of…”
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Data-driven active corrective control in power systems: an interpretable deep reinforcement learning approach by Li, Beibei, Liu, Qian, Hong, Yue, He, Yuxiong, Zhang, Lihong, He, Zhihong, Feng, Xiaoze, Gao, Tianlu, Yang, Li

“…With the successful application of artificial intelligence technology in various fields, deep reinforcement learning (DRL) algorithms have applied in active…”
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A prior knowledge-embedded reinforcement learning method for real-time active power corrective control in complex power systems by Xu, Peidong, Zhang, Jun, Lu, Jixiang, Zhang, Haoran, Gao, Tianlu, Chen, Siyuan

“…With the increasing uncertainty and complexity of modern power grids, the real-time active power corrective control problem becomes intractable, bringing…”
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Blockchain Enabled Intelligence of Federated Systems (BELIEFS): An attack-tolerant trustable distributed intelligence paradigm by Chen, Siyuan, Zhang, Jun, Bai, Yuyang, Xu, Peidong, Gao, Tianlu, Jiang, Huaiguang, Gao, Wenzhong, Li, Xiang

“…In this article, a Blockchain Enabled Intelligence of Federated Systems (BELIEFS) is proposed to conduct cooperative control for the multi-regional large-scale…”
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Setting and generation of power system typical testing scenarios based on mapping deduction by Zhang, Tianyun, Zhang, Jun, Xu, Peidong, Gao, Tianlu, Zhang, Haoran

“…This article proposes the typical testing scenarios setting and generation method for quantitatively assessing the intelligence level of power grid control…”
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Very short-term residential load forecasting based on deep-autoformer by Jiang, Yuqi, Gao, Tianlu, Dai, Yuxin, Si, Ruiqi, Hao, Jun, Zhang, Jun, Gao, David Wenzhong

“…Very short-term load forecasting (VSLTF) plays an essential role in guaranteeing effective electricity dispatching and generating in residential microgrid…”
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A multi-hierarchical interpretable method for DRL-based dispatching control in power systems by Zhang, Ke, Zhang, Jun, Xu, Peidong, Gao, Tianlu, Gao, Wenzhong

“…Timely, effective, and robust artificial intelligence (AI) technology is urgently needed to improve decision-making efficiency in the presence of renewable…”
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Real-time fast charging station recommendation for electric vehicles in coupled power-transportation networks: A graph reinforcement learning method by Xu, Peidong, Zhang, Jun, Gao, Tianlu, Chen, Siyuan, Wang, Xiaohui, Jiang, Huaiguang, Gao, Wenzhong

“…With the increasing penetration rate of electric vehicles, the fast charging demands of electric vehicles will have a significant influence on the operation of…”
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Affordable mobile hybrid integrated renewable energy system power plant optimized using HOMER Pro by Weber, Jeffrey A., Gao, David Wenzhong, Tianlu Gao

“…Numerous case studies have been performed on both large and small scale Hybrid Integrated Renewable Energy Systems (HI-RES) over the past decade to ascertain…”
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Numerical simulation of steel-copper-steel composite cooling staves: Heat transfer characteristics and structural optimization by Gao, Tianlu, Huang, Yining, Zhang, Lei, Zhang, Jianliang, Zhou, Zhenxing, Yan, Lifeng, Jiao, Kexin

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An adaptive active power rolling dispatch strategy for high proportion of renewable energy based on distributed deep reinforcement learning by Bai, Yuyang, Chen, Siyuan, Zhang, Jun, Xu, Jian, Gao, Tianlu, Wang, Xiaohui, Wenzhong Gao, David

“…•Regional graph attention is used to efficiently capture neighborhood features.•Value decomposition structure is applied for the training of…”
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Knowledge discovery for smart grid operation, control, and situation awareness - a big data visualization platform by Yi Gu, Huaiguang Jiang, Yingchen Zhang, Zhang, Jun Jason, Tianlu Gao, Muljadi, Eduard

“…In this paper, a big data visualization platform is designed to discover the hidden useful knowledge for smart grid (SG) operation, control and situation…”
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Examination of factors and mechanisms contributing to surface wear on copper cooling staves within large blast furnaces by Zhang, Lei, Gao, Tianlu, Zhou, Zhenxing, Jiao, Kexin, Zhang, Jianliang, Chen, Yanbo

“…•Copper cooling staves are worn by solid charge instead of gas erosion.•Differences exist in the wear of staves, with a maximum wear rate of 5.64 mm/a.•Cooling…”
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Black swan event small-sample transfer learning (BEST-L) and its case study on electrical power prediction in COVID-19 by Hu, Chenxi, Zhang, Jun, Yuan, Hongxia, Gao, Tianlu, Jiang, Huaiguang, Yan, Jing, Wenzhong Gao, David, Wang, Fei-Yue

“…•A transfer learning framework and a CNN model are proposed for the black swan small-sample events.•(BEST-L).•Experiments show that the BEST-L outperforms…”
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Melting Erosion Failure Mechanism of Tuyere in Blast Furnace by Gao, Tianlu, Jiao, Kexin, Zhang, Jianliang, Ma, Hengbao

“…In this paper, the common damage types of tuyere were sampled and analyzed. Specifically, the element content in tuyere was measured by Inductively Coupled…”
Get full text