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  • Open Access

    ARTICLE

    Smart Energy Management System Using Machine Learning

    Ali Sheraz Akram1, Sagheer Abbas1, Muhammad Adnan Khan2,3,5, Atifa Athar4, Taher M. Ghazal5,6, Hussam Al Hamadi7,*

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 959-973, 2024, DOI:10.32604/cmc.2023.032216

    Abstract Energy management is an inspiring domain in developing of renewable energy sources. However, the growth of decentralized energy production is revealing an increased complexity for power grid managers, inferring more quality and reliability to regulate electricity flows and less imbalance between electricity production and demand. The major objective of an energy management system is to achieve optimum energy procurement and utilization throughout the organization, minimize energy costs without affecting production, and minimize environmental effects. Modern energy management is an essential and complex subject because of the excessive consumption in residential buildings, which necessitates energy optimization and increased user comfort. To… More >

  • Open Access

    ARTICLE

    EXPERIMENTAL AND THEORETICAL STUDY OF SMART ENERGY MANAGEMENT SOLAR WATER HEATING SYSTEM FOR OUTDOOR SWIMMING POOL APPLICATION IN EGYPT

    Marwa M. Ibrahima,*, Amal El Berrya, Karim Ashourb

    Frontiers in Heat and Mass Transfer, Vol.18, pp. 1-11, 2022, DOI:10.5098/hmt.18.9

    Abstract Conventional sources of energy are rapidly decreasing more and more. Hence, Renewable energy is presently attracting significant. Therefore, this paper aims at investigating the techno-economic feasibility of SWHS for swimming pools in tourist hotels and resorts. The proposed system presents an active direct system without auxiliary heaters to evaluate the potential for using solar thermal collectors for heating swimming pools of tourist resort; installed in El Gouna city, Egypt, and to size solar collector using TSOL simulation software package to meet the demand of hot water, to analyze the impact of collector design-parameters concerning system cost, system yield and economic… More >

  • Open Access

    ARTICLE

    Low Carbon Building Design Optimization Based on Intelligent Energy Management System

    Zhenyi Feng*, Nina Mo, Shujuan Dai, Yu Xiao, Xia Cheng

    Energy Engineering, Vol.120, No.1, pp. 201-219, 2023, DOI:10.32604/ee.2022.023471

    Abstract The construction of relevant standards for building carbon emission assessment in China has just started, and the quantitative analysis method and evaluation system are still imperfect, which hinders the development of lowcarbon building design. Therefore, the use of intelligent energy management system is very necessary. The purpose of this paper is to explore the design optimization of low-carbon buildings based on intelligent energy management systems. Based on the proposed quantitative method of building carbon emission, this paper establishes the quota theoretical system of building carbon emission analysis, and develops the quota based carbon emission calculation software. Smart energy management system… More >

  • Open Access

    ARTICLE

    Multi-Scale Boxes Loss for Object Detection in Smart Energy

    Zhiyong Dai1,*, Jianjun Yi1, Yajun Zhang1, Liang He2

    Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 887-903, 2020, DOI:10.32604/iasc.2020.010122

    Abstract The rapid development of Internet of Things (IoT) technologies has boosted smart energy networks in recent years. However, power line surveillance systems still suffer from the low accuracy and efficiency of the power line area recognition and risk objects detection. This paper proposes a new customized loss function to tackle the disequilibrium of the size of objects on multi-scale feature maps in the deep learning-based detectors. To validate the new concept and improve the efficiency, we also presented a new object detection model. Experimental results are provided to exhibit the advantage of our proposed method in both accuracy and efficiency. More >

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