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  • Open Access

    EDITORIAL

    AI-Driven Interaction and Collaborative Optimization of Vehicle, Charging Station and Grid: Challenges and Prospects

    Bo Yang1,*, Zhe Jiang1, Jianfeng Wen2, Ning Yang3, Kaiping Qu4, Shuai Zhou5

    Energy Engineering, Vol.122, No.6, pp. 2187-2195, 2025, DOI:10.32604/ee.2025.065489 - 29 May 2025

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    CCHP-Type Micro-Grid Scheduling Optimization Based on Improved Multi-Objective Grey Wolf Optimizer

    Yu Zhang*, Sheng Wang, Fanming Zeng, Yijie Lin

    Energy Engineering, Vol.122, No.3, pp. 1137-1151, 2025, DOI:10.32604/ee.2025.060945 - 07 March 2025

    Abstract With the development of renewable energy technologies such as photovoltaics and wind power, it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through algorithm improvement. To reduce the operational costs of micro-grid systems and the energy abandonment rate of renewable energy, while simultaneously enhancing user satisfaction on the demand side, this paper introduces an improved multi-objective Grey Wolf Optimizer based on Cauchy variation. The proposed approach incorporates a Cauchy variation strategy during the optimizer’s search phase to expand its exploration range and minimize the likelihood of… More > Graphic Abstract

    CCHP-Type Micro-Grid Scheduling Optimization Based on Improved Multi-Objective Grey Wolf Optimizer

  • Open Access

    ARTICLE

    Intelligent Deer Hunting Optimization Based Grid Scheduling Scheme

    Mesfer Al Duhayyim1, Majdy M. Eltahir2, Imène Issaoui3, Fahd N. Al-Wesabi2,4, Anwer Mustafa Hilal5, Fuad Ali Mohammed Al-Yarimi2, Manar Ahmed Hamza5,*, Abu Sarwar Zamani5

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 181-195, 2022, DOI:10.32604/cmc.2022.024206 - 24 February 2022

    Abstract The grid environment is a dynamic, heterogeneous, and changeable computing system that distributes various services amongst different clients. To attain the benefits of collaborative resource sharing in Grid computing, a novel and proficient grid resource management system (RMS) is essential. Therefore, detection of an appropriate resource for the presented task is a difficult task. Several scientists have presented algorithms for mapping tasks to the resource. Few of them focus on fault tolerance, user fulfillment, and load balancing. With this motivation, this study designs an intelligent grid scheduling scheme using deer hunting optimization algorithm (DHOA), called More >

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