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  1. 161
  2. 162

    Optimal Scheduling of Virtual Power Plants Under a Multiple Energy Sharing Framework Considering Joint Electricity and Carbon Trading by Xue Li, Xuan Zhang, Jiannan Zhang, Wenlu Ji, Lifeng Wang, Xiaomin Lu, Jingchen Zhang

    Published 2024-12-01
    “…The virtual power plant (VPP) is an excellent approach for mitigating the intermittency and fluctuation of renewable energy sources. The present work proposes an optimal scheduling model for VPPs to leverage the benefits of joint electricity and carbon trading from the perspective of multiple energy-sharing mechanisms. …”
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    Article
  3. 163
  4. 164

    Distributionally robust optimization-based scheduling for a hydrogen-coupled integrated energy system considering carbon trading and demand response by Zhichun Yang, Lin Cheng, Huaidong Min, Yang Lei, Yanfeng Yang

    Published 2025-04-01
    “…This study proposes a two-stage distributionally robust optimization (DRO)-based scheduling method to improve the economic efficiency and reduce carbon emissions of HIES. …”
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    Article
  5. 165

    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

    Published 2025-06-01
    “…Firstly, a multi-objective scheduling model is established. Meanwhile, this work proposes a MODRL framework to learn the scheduling strategy for multiple competing objectives. …”
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    Article
  6. 166

    Monthly economic scheduling analysis of virtual power plant with electric vehicles: Analyzing from single-objective to tri-objective perspectives by Shaofan Li, Huaichun Zhou, Guanfeng Du, Shengxian Cao, Gong Wang, Jie Duan

    Published 2025-09-01
    “…The integration of diverse clean energy sources poses both challenges and opportunities for future energy systems. …”
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    Article
  7. 167

    An Intelligent Regional Integrated Energy Dispatching Approach Considering Source-Load Uncertainty by Tianmeng Yuan, Yong Mu, Weibo Yin

    Published 2025-01-01
    “…To address the problem of insufficient consideration of source load uncertainty in traditional scheduling models, a two-layer optimization model is proposed that combines non-parametric density estimation and copula theory to improve the traditional source load uncertainty modeling method. …”
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    Article
  8. 168

    Q8S: Emulation of Heterogeneous Kubernetes Clusters Using QEMU by Jonathan Decker, Vincent Florens Hasse, Julian Kunkel

    Published 2025-05-01
    “…We release our implementation of Q8S as open source.…”
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    Article
  9. 169
  10. 170

    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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    Article
  11. 171

    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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    Article
  12. 172

    Hierarchical optimal control of virtual power plants for source-network-load-storage by Zhaoze LI, Jihong ZHANG, Zhenkui WU, Zilei ZHANG, Qingsong HE

    Published 2025-07-01
    “…It focuses on the design of a layered optimization and control scheme for a virtual power plant, focusing on source-network load-storage. The upper layer of the plant encompasses that of generalized energy storage for use with wind power and photovoltaics proposed, which can track several factors. …”
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    Article
  13. 173

    Robust fuzzy dynamic integrated environmental-economic-social scheduling considering demand response and user’s satisfaction with electricity under multiple uncertainties by Hong Zhang, Qianwei Xi, Lei Chen, Yong Min, Xiongxiong Fan, Wenjin Fang, Nan Tian, Fei Xu

    Published 2025-02-01
    “…On the basis of analyzing the operation mechanism of the multi-source system and the characteristics of multiple uncertainty sources, the robust theory is used to construct power output model of wind and photovoltaic (PV), and the fuzzy theory is used to construct power demand response model. …”
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    Article
  14. 174

    Embracing open innovation in hospitality management: Leveraging AI-driven dynamic scheduling systems for complex resource optimization and enhanced guest satisfaction by Rapeepan Pitakaso, Paulina Golinska-Dawson, Peerawat Luesak, Thanatkij Srichok, Surajet Khonjun

    Published 2025-03-01
    “…The insights gained extend beyond routine scheduling, demonstrating how computational innovations, when carefully integrated with managerial strategies, can foster adaptable and forward-looking business models. …”
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    Article
  15. 175

    Capabilities of battery and compressed air storage in the economic energy scheduling and flexibility regulation of multi-microgrids including non-renewable/renewable units by Ahad Faraji Naghibi, Ehsan Akbari, Mehdi Veisi, Saeid Shahmoradi, Sasan Pirouzi

    Published 2025-07-01
    “…Abstract Economic scheduling of multi-microgrids containing distributed units and storage devices is expressed in this scheme according to the multi-objective energy management system. …”
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    Article
  16. 176
  17. 177

    Novel Real-Time Power System Scheduling Based on Behavioral Cloning of a Grid Expert Strategy with Integrated Graph Neural Networks by Xincong Shi, Chuangxin Guo

    Published 2025-04-01
    “…The approach integrates grid expert strategies with graph theory-based modeling and Behavioral Cloning (BC), capturing the topological information of the power grid through Graph Neural Networks (GNN) to improve scheduling accuracy. Tested on a modified IEEE 33-bus model rich in renewable sources, GES-GNNBC outperforms both traditional and RL methods in stability and efficiency of computing optimization schemes and power balance strategies, markedly improving dispatch decision-making speed and effectiveness.…”
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  18. 178

    RISK SOURCES AND MANAGEMENT STRATEGIES AMONG CASSAVA FARMERS IN ABIA STATE, NIGERIA by Chijioke Nwaneri NDEM, Charles Kelechi OSONDU

    Published 2018-01-01
    “…This study identified sources of risk and risk management strategies among cassava farmers in Abia State, Nigeria. …”
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  19. 179

    A Development Model for Identifying the Uncertainty Sources and Their Impacts on Bridge Construction Projects by Kayvan Mohammadi Atashgah, Rouzbeh Ghousi, Armin Monir Abbasi, Abbasali Tayefi Nasrabadi

    Published 2023-03-01
    “…This study proposes a SAHP based on group decision making (GSAHP) to prioritise the sources of uncertainty in bridge construction projects. …”
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    Article
  20. 180

    Optimal scheduling of solar powered EV charging stations in a radial distribution system using opposition-based competitive swarm optimization by Isha Chandra, Navneet Kumar Singh, Paulson Samuel, Mohit Bajaj, Arvind R. Singh, Ievgen Zaitsev

    Published 2025-02-01
    “…However, the intermittent nature of renewable energy sources poses a challenge for energy management in power distribution networks. …”
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    Article