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

“…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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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

“…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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An optimal day-ahead scheduling method for power systems considering extreme， unanticipated and dynamic-temporal scenarios by SUN Junjie, HU Shubo, YUAN Peng, ZHANG Tingqi, JIA Qi, LIU Wansong

“…Existing optimal scheduling methods cannot cover all unanticipated scenarios. …”
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Flexible scheduling strategy for power systems considering source-load uncertainty by Qunmin YAN, Xiaoyu REN, Xiao SONG, Mengjue ZHAO, Chen AN

“…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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A distributed week-ahead scheduling method for the charging / discharging of plug-in electric vehicles integrated into the grid by Yan Cui, Zechun Hu, Yujian Wan, Junsong Li, Chengcheng Shao, Zhiyuan Bao, Xiaoyu Duan

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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

“…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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Service Restoration in Distribution Networks by Optimal Scheduling of Repair Crew and Mobile Power Sources by Qasem Asadi, Hamid Falaghi, Ali Ashoornezhad, Maryam Ramezani

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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

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

“…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

“…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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Traffic scheduling method based on segment routing in software-defined networking by Qian DONG, Jun LI, Yuxiang MA, Shujun HAN

“…In order to address the multi-commodity flow problem for traffic scheduling in software-defined networking,a method based on segment routing was proposed.The proposed method pre-computed sets of candidate paths and attributes of these paths for all source-target nodes,and set the requirements of attributes of candidate paths that should be met combined with various demands and constraints of flows,then generated sets of candidate paths for flows.In the proposed scheme,multi-commodity flow model in software-defined networking was simplified based on sets of candidate paths for flows,the difficulty of solving was reduced,the centralized control by the controller and the autonomous control by nodes were supported,the scalability of controller was improved.In addition,how to meet the energy-saving needs of the network was proposed,i.e.…”
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Traffic scheduling method based on segment routing in software-defined networking by Qian DONG, Jun LI, Yuxiang MA, Shujun HAN

“…In order to address the multi-commodity flow problem for traffic scheduling in software-defined networking,a method based on segment routing was proposed.The proposed method pre-computed sets of candidate paths and attributes of these paths for all source-target nodes,and set the requirements of attributes of candidate paths that should be met combined with various demands and constraints of flows,then generated sets of candidate paths for flows.In the proposed scheme,multi-commodity flow model in software-defined networking was simplified based on sets of candidate paths for flows,the difficulty of solving was reduced,the centralized control by the controller and the autonomous control by nodes were supported,the scalability of controller was improved.In addition,how to meet the energy-saving needs of the network was proposed,i.e.…”
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Heat Storage Decoupling Method Based on Coordinated Load Scheduling Model by Yi LEI, Mingzhen LIU, Kaimin LIN

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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

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

“…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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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

“…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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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…Aiming at the problems such as the uncertainty of distributed power output and the low efficiency of operation in the coupled system scheduling of distribution network and microgrid, an optimized scheduling model of Branch-bar operation with chance constraint based on the integration of deep learning method for distribution network and microgrid interconnection system is proposed. …”
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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

“…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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End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling by ZHANG Li, WANG Bao, JIA Jianxiong, SONG Zhumeng, YE Yutong, YU Yue, LIN Jiaqing, XU Xiaoyuan

“…Microgrids, as one of the effective methods for integrating new energy sources, play a crucial role in the new-type power systems. …”
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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

“…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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