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Search Results (9)
  • Open Access


    HVAC Optimal Control Based on the Sensitivity Analysis: An Improved SA Combination Method Based on a Neural Network

    Lifan Zhao1,2, Zetian Huang1,2, Qiming Fu1,2,3,*, Nengwei Fang4, Bin Xing4, Jianping Chen2,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2741-2758, 2023, DOI:10.32604/cmes.2023.025500

    Abstract Aiming at optimizing the energy consumption of HVAC, an energy conservation optimization method was proposed for HVAC systems based on the sensitivity analysis (SA), named the sensitivity analysis combination method (SAC). Based on the SA, neural network and the related settings about energy conservation of HVAC systems, such as cooling water temperature, chilled water temperature and supply air temperature, were optimized. Moreover, based on the data of the existing HVAC system, various optimal control methods of HVAC systems were tested and evaluated by a simulated HVAC system in TRNSYS. The results show that the proposed SA combination method can reduce… More >

  • Open Access


    MAQMC: Multi-Agent Deep Q-Network for Multi-Zone Residential HVAC Control

    Zhengkai Ding1,2, Qiming Fu1,2,*, Jianping Chen2,3,4,*, You Lu1,2, Hongjie Wu1, Nengwei Fang4, Bin Xing4

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2759-2785, 2023, DOI:10.32604/cmes.2023.026091

    Abstract The optimization of multi-zone residential heating, ventilation, and air conditioning (HVAC) control is not an easy task due to its complex dynamic thermal model and the uncertainty of occupant-driven cooling loads. Deep reinforcement learning (DRL) methods have recently been proposed to address the HVAC control problem. However, the application of single-agent DRL for multi-zone residential HVAC control may lead to non-convergence or slow convergence. In this paper, we propose MAQMC (Multi-Agent deep Q-network for multi-zone residential HVAC Control) to address this challenge with the goal of minimizing energy consumption while maintaining occupants’ thermal comfort. MAQMC is divided into MAQMC2 (MAQMC… More >

  • Open Access


    Optimizing Storage for Energy Conservation in Tracking Wireless Sensor Network Objects

    Vineet Sharma1, Mohammad Zubair Khan2,*, Shivani Batra1, Abdullah Alsaeedi3, Prakash Srivastava4

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1211-1231, 2023, DOI:10.32604/csse.2023.029184

    Abstract The amount of needed control messages in wireless sensor networks (WSN) is affected by the storage strategy of detected events. Because broadcasting superfluous control messages consumes excess energy, the network lifespan can be extended if the quantity of control messages is decreased. In this study, an optimized storage technique having low control overhead for tracking the objects in WSN is introduced. The basic concept is to retain observed events in internal memory and preserve the relationship between sensed information and sensor nodes using a novel inexpensive data structure entitled Ordered Binary Linked List (OBLL). Whenever an object passes over the… More >

  • Open Access


    An IoT-Based Energy Conservation Smart Classroom System

    Talal H. Noor1,*, El-Sayed Atlam2, Abdulqader M. Almars1, Ayman Noor3, Amer S. Malki1

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3785-3799, 2023, DOI:10.32604/iasc.2023.032250

    Abstract With the increase of energy consumption worldwide in several domains such as industry, education, and transportation, several technologies played an influential role in energy conservation such as the Internet of Things (IoT). In this article, we describe the design and implementation of an IoT-based energy conservation smart classroom system that contributes to energy conservation in the education domain. The proposed system not only allows the user to access and control IoT devices (e.g., lights, projectors, and air conditions) in real-time, it also has the capability to aggregate the estimated energy consumption of an IoT device, the smart classroom, and the… More >

  • Open Access


    Energy Conservation of Adiabatic ECRL-Based Kogge-Stone Adder Circuits for FFT Applications

    P. Dhilipkumar1,*, G. Mohanbabu2

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1445-1458, 2022, DOI:10.32604/iasc.2022.021663

    Abstract Low Power circuits play a significant role in designing large-scale devices with high energy and power consumption. Adiabatic circuits are one such energy-saving circuits that utilize reversible power. Several methodologies used previously infer the use of CMOS circuits for reducing power dissipation in logic circuits. However, CMOS devices hardly manage in maintaining their performance when it comes to fast switching networks. Adiabatic technology is employed to overcome these difficulties, which can further scale down the dissipation of power by charging and discharging. An Efficient Charge Recovery Logic (ECRL) based adiabatic technology is used here to evaluate arithmetic operations in circuits… More >

  • Open Access


    Optimizing Energy Conservation in V2X Communications for 5G Networks

    Arif Husen1,2, Abid Soahil1,*, Mohammad Hijji2, Muhammad Hasanain Chaudary1, Farooq Ahmed1

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3479-3495, 2022, DOI:10.32604/cmc.2022.023840

    Abstract The smart vehicles are one of critical enablers for automated services in smart cities to provide intelligent transportation means without human intervention. In order to fulfil requirements, Vehicle-to-Anything(V2X) communications aims to manage massive connectivity and high traffic load on base stations and extend the range over multiple hops in 5G networks. However, V2X networking faces several challenges from dynamic topology caused by high velocity of nodes and routing overhead that degrades the network performance and increases energy consumption. The existing routing scheme for V2X networking lacks energy efficiency and scalability for high velocity nodes with dense distribution. In order to… More >

  • Open Access


    Hybrid Sensor Selection Technique for Lifetime Extension of Wireless Sensor Networks

    Khaled M. Fouad1 , Basma M. Hassan2,*, Omar M. Salim3

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4965-4985, 2022, DOI:10.32604/cmc.2022.020926


    Energy conservation is a crucial issue to extend the lifetime of wireless sensor networks (WSNs) where the battery capacity and energy sources are very restricted. Intelligent energy-saving techniques can help designers overcome this issue by reducing the number of selected sensors that report environmental measurements by eliminating all replicated and unrelated features. This paper suggests a Hybrid Sensor Selection (HSS) technique that combines filter-wrapper method to acquire a rich-informational subset of sensors in a reasonable time. HSS aims to increase the lifetime of WSNs by using the optimal number of sensors. At the same time, HSS maintains the desired level… More >

  • Open Access


    Energy Efficient Clustering Protocol to Enhance Network Lifetime in Wireless Sensor Networks

    S. Nanthini1,*, S. Nithya Kalyani2, Sudhakar Sengan3

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3595-3614, 2021, DOI:10.32604/cmc.2021.015038

    Abstract In this paper, the energy conservation in the ununiform clustered network field is proposed. The fundamental reason behind the methodology is that in the process of CH election, nodes Competition Radius (CR) task is based on not just the space between nodes and their Residual Energy (RE), which is utilized in Energy-Aware Distributed Unequal Clustering (EADUC) protocol but also a third-degree factor, i.e., the nearby multi-hop node count. In contrast, a third-factor nearby nodes count is also used. This surrounding data is taken into account in the clustering feature to increase the network’s life span. The proposed method, known as… More >

  • Open Access


    SEM-Based Research on Influence Factors of Energy Conservation in Operation and Maintenance of Construction Project

    Liang Zhao1,2,3, Wenshun Wang2, Wei Zhang1

    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 705-713, 2019, DOI:10.31209/2019.100000074

    Abstract The energy consumption in operation and maintenance stage of construction project accounts for 80% of the whole project life cycle and therefore research on influence factors of energy consumption in project operation and maintenance stage is of great practical significance. Based on data of 260 valid questionnaires in Jiangsu area, structural equation model is adopted in the Thesis for empirical research on influence factors in operation and maintenance stage. Based on theoretical analysis and factor analysis, the conceptual model and research hypothesis for influence factors of energy consumption in operation and maintenance stage are proposed to establish structural equation model… More >

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