Jian Xiong

Coordinated Dispatch for Partitioned Power Grids Under Extreme Weather with a Flexibility Supply–Demand Balance Approach

Yanhong Ma, Jinggeng Gao, Kun Wang, Yujie Li et autres

To address the insufficient flexibility in power systems caused by renewable energy output uncertainty during extreme weather events, a coordinated source–network–load–storage (SNLS) dispatch method that combines a flexibility supply–demand balance approach with a partitioned grid framework is proposed to achieve the effective …

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A graph reinforcement learning-enhanced memetic algorithm for flexible job shop scheduling problem

Junwen Yang, Dapeng Zhang, Zeqiang Ren, Haoyu Wang et autres

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Low-Carbon Robust Planning for PIESs with Multi-Time-Scale Uncertainties and Elastic DR Regulation

Xin Huang, Shucan Zhou, Jian Xiong, Keteng Jiang et autres

With the widespread application of park integrated energy systems (PIESs), challenges of multi-energy coupling, high investment costs, and multi-type uncertainties have become increasingly prominent. Existing research often employs typical scenario generation or robust optimization for short-term uncertainties but struggles with long-term load …

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Size-tunable and efficient fabrication of CsPbBr3 superlattices by high-temperature self-assembly for superfluorescence

Zhanpeng Wang, Tonghua Hu, Peng Yang, J Huang et autres

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Excellent defluorination performance in defective CoNiO2 based asymmetric flow capacitive deionization system

Mingliang Yang, Yongqi Liu, Zhongtao Shang, Zhongde Dai et autres

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A Novel Memetic Algorithm Integrated with Variable Neighborhood Search for the Job Shop Scheduling Problem

Guoyun Zhang, Huaiyin He, Yuqi Zhao, Haoyu Wang et autres

The job shop scheduling problem (JSSP) is a challenging NP-hard combinatorial optimization task aimed at minimizing the makespan for scheduling jobs on machines with precedence and resource constraints. This paper proposes a novel memetic algorithm integrated with variable neighborhood search (MA-VNS), combining …

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Evolutionary Strategies with Dual Graph Reinforcement Learning for Flexible Job Shop Scheduling Problem

Junwen Yang, Haoyu Wang, Jian Xiong

The flexible job shop scheduling problem (FJSP) is a strongly NP-hard combinatorial optimization problem (COP) in the manufacturing field. Traditional methods typically rely on heuristic or exact algorithms to solve FJSP. Recently, an increasing number of studies have explored the integration of …

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In-situ growth of sea urchin-like NiCo2S4 on crab-shell carbon for high-performance supercapacitors and capacitive deionization

Xuebin Lu, Zhengya Gong, Zhihao Yu, Jian Xiong et autres

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An Improved Decline Curve Analysis Method via Ensemble Learning for Shale Gas Reservoirs

Zhou Yu, Zhangxuan Gu, Changyu He, Junwen Yang et autres

As a clean unconventional energy source, shale gas reservoirs are increasingly important globally. Accurate prediction methods for shale gas production capacity can bring significant economic benefits by reducing construction and operating costs. Decline curve analysis (DCA) is an efficient method that uses …

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In-Situ Growth of Sea Urchin-Like Nico2s4 on Crab-Shell Carbon for High-Performance Supercapacitors and Capacitive Deionization

Xuebin Lu, Zhengya Gong, Zhihao Yu, Jian Xiong et autres

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Location and path planning for urban emergency rescue by a hybrid clustering and ant colony algorithm approach

Bing Yang, Lunwen Wu, Jian Xiong, Yuxin Zhang et autres

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Planning of Location and Path for Urban Emergency Rescue by an Approach with Hybridization of Clustering and Ant Colony Algorithm

Bing Yang, Lunwen Wu, Jian Xiong, Yuxin Zhang et autres

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