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  1. 101

    Scheduling Optimization of Electric Rubber-Tired Vehicles in Underground Coal Mines Based on Constraint Programming by Maoquan Wan, Hao Li, Hao Wang, Jie Hou

    Published 2025-05-01
    “…A novel RFID–vision fusion positioning system, leveraging multi-source data to mitigate signal interference in underground environments, provides real-time, reliable spatiotemporal coordinates for the scheduling model. …”
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    Article
  2. 102

    Optimization of energy management in Malaysian microgrids using fuzzy logic-based EMS scheduling controller by Mohammad Nur-E-Alam, Tarek Abedin, Nur Aini Samsudin, Jana Petrů, Abdulwasa Bakr Barnawi, Manzoore Elahi M. Soudagar, T. M. Yunus Khan, Muhammad Nasir Bashir, Mohammad Aminul Islam, Boon Kar Yap, Tiong Sieh Kiong

    Published 2025-01-01
    “…Integrating an Energy Management System (EMS) to balance energy supply and demand in Malaysian microgrids, this study designs a Fuzzy Logic Controller (FLC) that considers intermittent renewable sources and fluctuating demand patterns. FLC offers a flexible solution to energy scheduling effectively assessed by MATLAB/Simulink simulations. …”
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  3. 103

    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

    Published 2025-01-01
    “…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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    Article
  4. 104
  5. 105

    Low-carbon optimization scheduling of IES based on enhanced diffusion model for scenario deep generation by Danhao Wang, Daogang Peng, Dongmei Huang, Huirong Zhao, Bogang Qu

    Published 2025-06-01
    “…With the widespread integration of renewable energy sources into IES (Integrated Energy Systems), the uncertainties in renewable energy outputs and the volatility of user loads present new challenges for energy scheduling optimization. …”
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    Article
  6. 106

    Research on an optimal scheduling strategy for a virtual power plant participating in primary frequency regulation by HUANG Canbing, XIONG Ni, WU Wei, LIU Shijian, ZHANG Qiao, YANG Xiyun

    Published 2025-02-01
    “…As a new energy system that integrates multiple energy sources, virtual power plants (VPPs) play an increasingly important role in participating in primary frequency regulation of the power grid. …”
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    Article
  7. 107

    School Start Times for Solar Alignment: Evaluating the Benefits of Schedule Optimisation for Peak and Cost Reduction by Terhemba Michael-Ahile, Jason Avron Samuels, Marthinus Johannes Booysen

    Published 2024-12-01
    “…Four scenarios are compared: baseline (current schedule without solar), shifted schedule without solar, baseline with solar, and shifted schedule with solar integration. …”
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  8. 108

    Study on two‐stage optimal scheduling of DC distribution networks considering flexible load response by Lei Chen, Man Yang, Yuqi Jiang, Shencong Zheng, Yifei Li, Xiaoyan You, Hongkun Chen

    Published 2024-11-01
    “…To address the challenge, this paper puts forward a two‐stage optimal scheduling model for the DCDNs considering flexible load response. …”
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    Article
  9. 109

    Optimal day-ahead scheduling strategy of microgrid considering regional pollution and potential load curtailment by Xinghua Xie, Hejun Yang, Bo Wang, Yinghao Ma, Dabo Zhang, Yuming Shen

    Published 2024-12-01
    “…This study proposes an optimal day-ahead scheduling strategy of microgrid considering regional pollution and potential load curtailment. …”
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    Article
  10. 110

    Hybrid Decision Support Framework for Energy Scheduling Using Stochastic Optimization and Cooperative Game Theory by Peng Liu, Tieyan Zhang, Furui Tian, Yun Teng, Miaodong Yang

    Published 2024-12-01
    “…This study introduces a multi-criteria decision-making (MCDM) framework for optimizing multi-energy network scheduling (MENS). As energy systems become more complex, the need for adaptable solutions that balance consumer demand with environmental sustainability grows. …”
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    Article
  11. 111

    MASSIVE: A scalable framework for agent-based scheduling of micro-grids using market mechanisms by Jakob M. Fritz, Lea Riebesel, André Xhonneux, Dirk Müller

    Published 2025-07-01
    “…Abstract With the increasing share of distributed renewable energy sources the need arises to store excess energy and/or to shift demands to match the given supply. …”
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  12. 112
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  14. 114

    Resource Adaptive Automated Task Scheduling Using Deep Deterministic Policy Gradient in Fog Computing by Prashanth Choppara, S. Sudheer Mangalampalli

    Published 2025-01-01
    “…Fog computing carries have emerged as an effective solution by decentralizing data processing, reducing latency, and bringing computation closer to the data sources. This paper presents a novel adaptive scheduling framework based on the DDPG algorithm for task scheduling optimization in fog computing environments. …”
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  15. 115

    A Literature Review on Strategic, Tactical, and Operational Perspectives in EV Charging Station Planning and Scheduling by Marzieh Sadat Aarabi, Mohammad Khanahmadi, Anjali Awasthi

    Published 2025-07-01
    “…In this paper, we present a thematic literature review on electric vehicles charging station location planning and scheduling. A systematic literature review across various data sources in the area yielded ninety five research papers for the final review. …”
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  16. 116

    Federated duelling deep Q‐network based collaborative energy scheduling for a power distribution network by Yanhong Yang, Wei Pei, Tianyi Xu, Dawei Wang, Abdelbari Redouane

    Published 2025-06-01
    “…Abstract The collaborative energy scheduling of source‐load‐energy storage has great potential to meet the active control requirements of power‐distribution networks. …”
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    Article
  17. 117

    A Hybrid Task Scheduling Technique in Fog Computing Using Fuzzy Logic and Deep Reinforcement Learning by Prashanth Choppara, S. Sudheer Mangalampalli

    Published 2024-01-01
    “…Fog computing presents available solution by placing the processing resources near the data source but the issue of efficient task scheduling remains a major obstacle. …”
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  18. 118
  19. 119

    Efficient Task Scheduling and Load Balancing in Fog Computing for Crucial Healthcare Through Deep Reinforcement Learning by Prashanth Choppara, Bommareddy Lokesh

    Published 2025-01-01
    “…This architecture reduces transmission latency by placing processing nodes close to the source of data generation, namely IoT-enabled healthcare devices. …”
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  20. 120

    Simulation Analysis of Water Resource Scheduling in Nansu River Based on Coupled Water Quality-Quantity Model by HOU Xiang-dong, ZHAO Xiang-ling

    Published 2025-06-01
    “…To improve water quality, seven scheduling schemes were proposed by addressing two key aspects: controlling pollutant inflow from tributaries and increasing mainstream flow. …”
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    Article