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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Affinely adjustable robust optimal scheduling of a power system considering the flexibility of supply and demand by Yumin Zhang, Yongchen Zhang, Xizhen Xue, Xingquan Ji, Yunqi Wang, Pingfeng Ye

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Microgrid Energy Management Considering Energy Storage Degradation Cost by Yiming Zhao, Hongrui Li, Changsheng Wan, Dong Du, Bo Chen

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Day-Ahead Scheduling of IES Containing Solar Thermal Power Generation Based on CNN-MI-BILSTM Considering Source-Load Uncertainty by Kun Ding, Yalu Sun, Boyang Chen, Jing Chen, Lixia Sun, Yingjun Wu, Yusheng Xia

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Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system by Xinming Wang, Huayang Liang, Xiaobo Jia, Shihui Li, Shengyang Kang, Yan Gao

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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

“…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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A DRL-based optimization method for microgrid operation by ZENG Lei, DING Quan, CHEN Xiaoyu, YUE Xianya

“…To address the challenges of source-load uncertainty and insufficient scheduling flexibility in microgrids， an optimization method for microgrid operation based on deep reinforcement learning （DRL） is proposed. …”
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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

“…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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Energy scheduling of renewable integrated system with hydrogen storage in distribution grid including charging and hydrogen stations of eclectic vehicles by Kazem Emdadi, Majid Gandomkar, Javad Nikoukar

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

“…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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Low‐carbon economic schedule of the H2DRI‐EAF steel plant integrated with a power‐to‐hydrogen system driven by blue hydrogen and green hydrogen by Bokang Zou, Yuanshi Zhang, Qirui Chen, Qinran Hu, Xiaoyan Hu, Jing Shi, Zesen Li, Qi Wang

“…Moreover, the use of an unclean power source in electrolytic hydrogen production leads to increases in indirect carbon emissions, reducing the low‐carbon attributes of the technology. …”
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A two-stage flexible scheduling method for power systems with wind power considering the coordination of multiple resources by Aoyu Lei, Ligang Zhao, Yong Mei, Hongyue Zhen, Yongqiang Gao, Tinghui Zhou

“…The effectiveness of the proposed method is verified through case studies on the IEEE RTS-24 system and IEEE 118-bus system.…”
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Informational Support for Agricultural Machinery Management in Field Crop Cultivation by Chavdar Z. Vezirov, Atanas Z. Atanasov, Plamena D. Nikolova, Kalin H. Hristov

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Data-driven robust optimization for energy and reserve scheduling considering multi-uncertainty by Zuqing Zheng, Guo Chen, Zixiang Shen, Zhaoyang Dong

“…The first stage involves day-ahead scheduling for energy and reserve, while the second stage minimizes re-scheduling cost under the worst-case scenario. …”
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Optimal allocation of STATCOM for multi-objective ORPD problem on thermal wind solar hydro scheduling using driving training based optimization by Tushnik Sarkar, Sabyasachi Gupta, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Anagha Bhattacharya, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Voltage stability index (VSI) improved by 26.9% with scheduling STATCOM and renewable sources (RESs). For the multi-objective situation APL & AVD both simultatiously improved to 5.0701(MW) & 0.1221 (p.u.), respectively, with incorporating STATCOM and RESs using DTBO. …”
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bs-scheduler: A Batch Size Scheduler library compatible with PyTorch DataLoaders by George Stoica, Mihaela Elena Breabăn

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A multi-objective deep reinforcement learning method for intelligent scheduling of wind-solar-hydro-battery complementary generation systems by Yuanyu Ge, Jun Xie, Jiaqi Chang, Shuo Feng

“…Simulation results indicate that the proposed intelligent scheduling method effectively achieves multi-objective scheduling for the WSHBCS, outperforming traditional heuristic optimization methods in terms of multi-objective optimization performance, uncertainty adaptability, and solution time.…”
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Two-sided Energy Storage Cooperative Scheduling Method for Transmission and Distribution Network Based on Multi-agent Attention-deep Reinforcement Learning by CHEN Shi, ZHU Yujie, LIU Yihong, XU Liuchao, TANG Guodeng

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Cooperative game scheduling and revenue sharing strategy for virtual power plants considering scenery uncertainty by SONG Duoyang, XUE Tianliang, LI Yipu, TU Jintong, BI Yuhao, WANG Mankang

“…Based on this, a cooperative game scheduling model is proposed for multi-type distributed energy sources aggregated in a virtual power plant under the day-ahead power market. …”
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Uncertainty management in multiobjective electric vehicle integrated optimal power flow based hydrothermal scheduling of renewable power system for environmental sustainability by Susanta Dutta, Siddhartha Ghosh, Tushnik Sarkar, Provas Kumar Roy, Chandan Paul, Ruba Abu Khurma, Mohd Asif Shah, Saurav Mallik

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