Showing 1 - 20 results of 376 for search '(source OR sources) scheduling methods', query time: 0.13s Refine Results
  1. 1

    Optimization Scheduling of Multiple Heterogeneous Energy Sources by Ying Zhao, Zhiwen Yu, Xiaobin Wang, Jianlin Tang, Xiaoming Lin, Fan Zhang, Bin Qian

    Published 2025-05-01
    “…The discussion revolves around the methods of multi-source heterogeneous energy optimization scheduling to achieve intelligent scheduling and efficient operation of energy systems. …”
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    Article
  2. 2

    Multi-time scale source and load intelligent scheduling method for distribution network based on multi-agent game by Tang Junci, Li Tie, Pi Junbo, Wang Mingkai

    Published 2022-03-01
    “…Considering that the user demand will affect the effect of multi-time scale source load intelligent dispatching in distribution network to a certain extent, a multi-agent game based multi-time scale source load intelligent dispatching method is proposed. …”
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  3. 3

    Flexible scheduling strategy for power systems considering source-load uncertainty by Qunmin YAN, Xiaoyu REN, Xiao SONG, Mengjue ZHAO, Chen AN

    Published 2025-03-01
    “…A two-stage robust optimization model of power system considering source-load uncertainty is proposed,to address the serious lack of system scheduling flexibility caused by the source-load uncertainty in new energy power systems. …”
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    Graph reinforcement learning-driven source-load cooperative scheduling optimization for textile production by Tianhao Tan, Tao Wu, Jie Li, Yuyuan Lan, Jinsong Bao

    Published 2025-12-01
    “…This research proposes a graph reinforcement learning-driven source-load collaborative optimization method. Based on a domain knowledge graph fusing textile production processes, equipment status, and energy consumption relationships, the method explicitly characterizes the heterogeneous correlation of the source-load system. …”
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    Article
  6. 6

    Coordinated Optimal Scheduling of Source and Load in Integrated Energy System Considering Flexible Resources by Funian HU, Pengcheng ZHANG, Xiaobo ZHOU, Jun CHEN

    Published 2024-05-01
    “…In order to improve the flexible adjustment ability of IES and the consumption level of renewable energy, this paper proposes an IES source-load coordination optimization scheduling method considering flexible resources. …”
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    DENTAL TREATMENT NEEDS FOR ELIMINATION OF ORAL INFECTION SOURCES IN PATIENTS SCHEDULED FOR HIP AND KNEE ARTHROPLASTY by Dana Nicoleta Mihai, Paul Dan Sirbu, Liliana Savin, Norin Forna, Cristina Gena Dascalu, Norina Consuela Forna

    Published 2025-06-01
    “…Aim of study was to assess the dental treatment needs for elimination of oral infectious sites related to sociodemographics and individual factors in patients scheduled for hip/knee arthroplasty. Materials and method. …”
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    Optimization Strategy for Battery Swapping Station Scheduling Considering Coupling of Power Market and New Energy Source by WANG Yongli, ZHU Mingyang, ZHANG Yunfei, DONG Huanran, JIANG Sichong, LI Dexin, ZHU Jinrong, GUI Jiangyi

    Published 2025-06-01
    “…It considers the coupling between the power market and new energy sources. [Methods] The strategy is based on two main goals: providing auxiliary services in the power market and addressing the abandonment and consumption of new energy. …”
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    Article
  11. 11

    Two‐stage stochastic robust optimal scheduling of virtual power plant considering source load uncertainty by Xiaohui Zhang, Yufei Liu

    Published 2024-12-01
    “…Abstract Aiming at the optimal scheduling problem of virtual power plant (VPP) with multiple uncertainties on the source‐load side, this paper proposes a two‐stage stochastic robust optimal scheduling method considering the uncertainty of the source‐load side. …”
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  12. 12

    Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response by YANG Xiyong, ZHANG Yangfei, LIN Gang, ZHANG Yuzhuo, AN Yunzhan, YANG Haotian

    Published 2023-04-01
    “…In order to meet the challenges brought by the high proportion of new energy access in the future, it is necessary to fully tap the adjustable potential of different types of scheduling resources. Therefore, a multi-time scale optimal scheduling strategy of source-load-storage considering demand response was proposed to improve the economy and reliability of system operation by participating in the coordinated optimal scheduling of power grid. …”
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    Article
  13. 13

    Integration of Multi-Source Landslide Disaster Data Based on Flink Framework and APSO Load Balancing Task Scheduling by Zongmin Wang, Huangtaojun Liang, Haibo Yang, Mengyu Li, Yingchun Cai

    Published 2024-12-01
    “…The findings indicate the following: (1) The multi-source data integration method for landslide disaster based on Flink and APSO proposed in this article, combined with the structural characteristics of landslide disaster data, adopts different integration methods for data in different formats, which can effectively achieve the integration of multi-source landslide data. (2) A multi-source landslide data integration framework based on Flink has been established. …”
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    Article
  14. 14

    Stochastic Optimization Scheduling Method for Mine Electricity–Heat Energy Systems Considering Power-to-Gas and Conditional Value-at-Risk by Chao Han, Yun Zhu, Xing Zhou, Xuejie Wang

    Published 2025-08-01
    “…To fully accommodate renewable and derivative energy sources in mine energy systems under supply and demand uncertainties, this paper proposes an optimized electricity–heat scheduling method for mining areas that incorporates Power-to-Gas (P2G) technology and Conditional Value-at-Risk (CVaR). …”
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  15. 15

    Multi-Scenario Stochastic Optimal Scheduling for Power Systems With Source-Load Matching Based on Pseudo-Inverse Laguerre Polynomials by Jiahao Ye, Lirong Xie, Lan Ma, Yifan Bian, Chuanshi Cui

    Published 2023-01-01
    “…In the optimization scheduling of power systems containing renewable energy, to ensure that the scheduling results have higher security and better economy, this study proposes a multi-objective forecasting, scenario generation, and decision scheduling integrated stochastic optimal scheduling method. …”
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  16. 16

    A survey on multi-source heterogeneous data processing methods in manufacturing process by Shichao CHEN, Chunyu CUI, Hua ZHANG, Ge MA, Fenghua ZHU, Xiuqin SHANG, Gang XIONG

    Published 2020-09-01
    “…The effective processing and deep mining analysis of data can provide manufacturers with more effective production scheduling,equipment management and other strategies to affect production yield and efficiency.The processing methods and technologies of multi-source heterogeneous data in the manufacturing process were systematically reviewed.Firstly,the multi-source heterogeneous data content and classification in the manufacturing process was clarified.Secondly,the data processing methods and techniques applied in various stages of data collection,data integration and data analysis in the multi-source heterogeneous data processing were described.And the advantages and disadvantages of various techniques and their applications were analyzed.Finally,the multi-source heterogeneous data processing methods and techniques in the manufacturing process were summarized.And the challenges and development trends were pointed out.…”
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  17. 17

    Demand Side Load Source Duality Modeling Method for Active Demand Response by Xin AI, Limin XU, Huichuan LIU, Xueying WANG, Hongyang LIU, Yizheng LI

    Published 2021-06-01
    “…This paper takes the method of load source duality modeling for active demand response as the theme, analyzes the research results of load source duality modeling at home and abroad from the perspective of flexible resources participating in grid dispatching on demand side. …”
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    Two-Layer Optimal Scheduling and Economic Analysis of Composite Energy Storage with Thermal Power Deep Regulation Considering Uncertainty of Source and Load by Chao Xing, Jiajie Xiao, Xinze Xi, Jingtao Li, Peiqiang Li, Shipeng Zhang

    Published 2024-09-01
    “…A two-layer scheduling method of energy storage that considers the uncertainty of both source and load is proposed to coordinate thermal power with composite energy storage to participate in the peak regulation of power systems. …”
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    Article