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Journal articles on the topic 'Energy consumption systems'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Ramos, Carlos, Zita Vale, Peter Palensky, and Hiroaki Nishi. "Sustainable Energy Consumption." Energies 14, no. 20 (2021): 6665. http://dx.doi.org/10.3390/en14206665.

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Kgopana, Khuthadzo, and Olawale Popoola. "Improved utilization of hybrid energy for low-income houses based on energy consumption pattern." AIMS Energy 11, no. 1 (2023): 79–109. http://dx.doi.org/10.3934/energy.2023005.

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<abstract> <p>The adoption of solar photovoltaic and small wind turbine hybrid energy systems in residential applications has picked up promising development around the globe. However, the uncertainty of renewable energy generation associated with the reliance on climate conditions is one of the factors which affect the reliability of the system. Therefore, there is a need to develop an energy management scheme for improving the reliability of the system. One of the drawbacks of hybrid renewable energy systems is the high investment cost, particularly looking at low-income family u

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Konstantakos, V., A. Chatzigeorgiou, S. Nikolaidis, and T. Laopoulos. "Energy Consumption Estimation in Embedded Systems." IEEE Transactions on Instrumentation and Measurement 57, no. 4 (2008): 797–804. http://dx.doi.org/10.1109/tim.2007.913724.

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Armenta-Deu, Carlos, and Raul Fernandez. "Analysis of Renewable Source Self-Consumption Systems: Energy, Economic and Social Impact." Journal of Research and Education 2, no. 2 (2024): 01–18. http://dx.doi.org/10.33140/jre.02.02.01.

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This work analyzes renewable source self-consumption systems as an alternative to conventional fossil fuel sources for the residential, commercial, and industrial sectors. The proposed configuration is a hybrid array of individual or combined renewable energy sources like photovoltaic panels, wind turbines, hydroelectric micro-turbines, low enthalpy geothermal or biomass units, etc. The paper studies the energy balance for a prototype installation based on standard energy consumption and power supply from renewable sources, aiming to optimize the system performance by saving energy, increasing

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Sofianidis, Ioannis, Vasileios Konstantakos, and Spyridon Nikolaidis. "Reducing Energy Consumption in Embedded Systems Applications." Technologies 13, no. 2 (2025): 82. https://doi.org/10.3390/technologies13020082.

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One of the most important challenges in modern digital systems, especially regarding autonomous embedded systems, is energy efficiency. This work studies an energy consumption optimization approach on a microcontroller that implements IoT-like applications, featuring Dynamic Voltage and Frequency Scaling (DVFS) capabilities, by dynamically changing the supply voltage and clock frequency. The proposed approach categorizes tasks according to their demands on timing requirements and analyzes speed–energy efficiency trade-offs. Results strongly indicate that energy performance is improved due to t

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Malyov, Nikolaj A. "ENERGY MANAGEMENT IN MECHATRONIC SYSTEMS: OPTIMIZATION OF ROBOT ENERGY CONSUMPTION." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 9/9, no. 150 (2024): 102–8. http://dx.doi.org/10.36871/ek.up.p.r.2024.09.09.014.

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The article discusses methods for optimizing energy consumption in mechatronic sys-tems, with a special emphasis on robotics. Energy management strategies are presented, including en-ergy-optimized trajectory planning, dynamic energy management, and architectural approaches to sys-tem design. An analysis of the factors affecting energy consumption is carried out, and solutions are proposed to improve energy efficiency without compromising performance. The results demonstrate that the proposed methods can significantly reduce energy consumption, increasing the autonomous opera-tion time of robo

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Gao, Nan, Cheng Xu, Xin Peng, Haibo Luo, Wufei Wu, and Guoqi Xie. "Energy-Efficient Scheduling Optimization for Parallel Applications on Heterogeneous Distributed Systems." Journal of Circuits, Systems and Computers 29, no. 13 (2020): 2050203. http://dx.doi.org/10.1142/s0218126620502035.

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Designing energy-efficient scheduling algorithms on heterogeneous distributed systems is increasingly becoming the focus of research. State-of-the-art works have studied scheduling by combining dynamic voltage and frequency scaling (DVFS) technology and turning off the appropriate processors to reduce dynamic and static energy consumptions. However, the methods for turning off processors are ineffective. In this study, we propose a novel method to assign priorities to processors for facilitating effective selection of turned-on processors to decrease static energy consumption. An energy-effici

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Horne, James, and Andrew Kricun. "USING MANAGEMENT SYSTEMS TO REDUCE ENERGY CONSUMPTION AND ENERGY COSTS." Proceedings of the Water Environment Federation 2008, no. 10 (2008): 5826–43. http://dx.doi.org/10.2175/193864708788807664.

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Mao, Yuyi, Guanding Yu, and Caijun Zhong. "Energy Consumption Analysis of Energy Harvesting Systems with Power Grid." IEEE Wireless Communications Letters 2, no. 6 (2013): 611–14. http://dx.doi.org/10.1109/wcl.2013.081913.130391.

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Zangheri, Serrenho, and Bertoldi. "Energy Savings from Feedback Systems: A Meta-Studies’ Review." Energies 12, no. 19 (2019): 3788. http://dx.doi.org/10.3390/en12193788.

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In order to achieve the goal of the Paris Agreement and reduce energy consumption there is the need for a behavior change in energy end-users. Many studies have demonstrated that by delivering to energy users customized feedback on their energy consumption it can encourage a change in their behavior and support investments in energy efficiency and sustainable energy use. However, the resulting impact on energy consumption can vary largely depending on how, when, and to whom the feedback is delivered. This paper aims to provide an updated overview of the energy savings for the main energy consu

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Matiullah Ahsan, Zainab Zainal, Md Nor Ramdon Baharom, et al. "Consumption-Based Priority Algorithm for Energy Consumption." Journal of Advanced Research in Applied Sciences and Engineering Technology 38, no. 1 (2024): 89–96. http://dx.doi.org/10.37934/araset.38.1.8996.

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Energy management is a critical component of intelligent, low-energy buildings. Demand-side management may benefit more from energy management. It could allow the system to use less energy while still meeting its demand for the available resources. According to recent research, buildings may reduce their energy use by up to 30% via improved operations, which are often based on effective energy management using the load priority algorithm. As a result, there is still room for energy savings in buildings via improved and effective operation. Smart grids provide electricity systems with suitable

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Tambunan, Handrea Bernando. "Research Mapping on Distributed Energy Systems Using Renewable Energy." Fidelity : Jurnal Teknik Elektro 5, no. 2 (2023): 11–20. http://dx.doi.org/10.52005/fidelity.v5i2.145.

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The availability of energy is essential to support modern human activities worldwide, pushing global energy consumption to an unprecedented level within the last century. Several aspects, such as population, economy, greenhouse gas emissions (GHG) emission, gross domestic product, and labor growth, have a favorable relationship with energy consumption, which means an enlargement in energy consumption. On the other hand, distributed energy systems (DES) and renewable energy (RE) are popular alternative sources of energy production as part of the energy mix toward energy security and sustainabil

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Alexander, Chaykin. "OPTIMIZATION OF HEAT CONSUMPTION IN CENTRAL HEATING SYSTEMS AT COMMERCIAL FACILITIES." American Journal of Engineering and Technology 6, no. 10 (2024): 142–49. http://dx.doi.org/10.37547/tajet/volume06issue10-16.

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Rising energy prices and stricter environmental regulations are exacerbating the problem of inefficient heat consumption in the commercial sector. Central heating systems of office buildings, shopping malls, and industrial complexes are often characterized by excessive thermal energy consumption, which leads to significant economic losses and a negative impact on the natural environment. The purpose of the study is to study the directions and trends of optimization in the field under consideration (taking into account modern technological capabilities, and economic factors). There are disagree

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Mishra, R. V., T. Gupta, A. Patel, R. Kumar, I. Kaur, and V. Batra. "Transforming Conventional Switching Systems to Cost-Effective, Adaptable, Energy-Efficient Smart Switching Systems." Journal of Scientific Research 15, no. 1 (2023): 85–93. http://dx.doi.org/10.3329/jsr.v15i1.60070.

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Reducing energy consumption in the household and commercial sectors is a major global concern. Our objective is to develop a low-cost automation solution that will help improve adoption and reduce energy consumption. Proposed system has functionality that will help typical Indian households reduce electricity consumption in areas of infrequent usage such as stairs, and parking areas where manual switching of the electricity is difficult. In our proposed model, a manual switching system is replaced with a low-cost and adaptable smart automated switching system. Our design is based on the Passiv

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Awolola, O. O., and J. A. Olorunmaiye. "Cooling Degree Days for Estimating Energy Consumption in Air Conditioning Systems in Nigeria." Journal of Clean Energy Technologies 8, no. 1 (2020): 5–10. http://dx.doi.org/10.18178/jocet.2020.8.1.517.

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Nouiri, Maroua, Damien Trentesaux, and Abdelghani Bekrar. "Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems." Energies 12, no. 23 (2019): 4448. http://dx.doi.org/10.3390/en12234448.

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Currently, enhancing sustainability, and in particular reducing energy consumption, is a huge challenge for manufacturing enterprises. The vision of the fourth industrial revolution (so-called “industry 4.0”) is not only to optimize production and minimize costs, but also to reduce energy consumption and enhance product life-cycle management. To address this challenge, a multi-agent architecture aimed at elaborating predictive and reactive energy-efficient scheduling through collaboration between cyber physical production and energy systems is proposed in this paper. Smart, sustainable decisio

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Moreno, Edward David, Franklin M. R. Junior, Felipe dos Anjos Lima, and Wanderson Roger A. Dias. "Computer Architecture under Energy Consumption Vision." International Journal of Computer Architecture Education 2, no. 1 (2013): 5–8. https://doi.org/10.5753/ijcae.2013.4942.

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This paper presents a new methodology for teaching computer architecture under energy consumption vision. The educational goals of this methodology are fivefold, know and understand the integration about: (i) computer architecture of traditional platforms (for example SPARC, MIPS) (ii) computer architecture of embedded systems (ARM) (iii) modern and popular applications (embedded systems), (iv) optimizations from compilers and (v) there is a synergy among of them for performance and energy consumption point of view.

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Pasupuleti, Ramesh, and Ramachandraiah Uppu. "Thermal energy aware proportionate scheduler for multiprocessor systems." International Journal of Engineering & Technology 7, no. 3 (2018): 1656. http://dx.doi.org/10.14419/ijet.v7i3.13278.

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As per Moore’s law, the power consumption and heat solidity of the multiprocessor systems are increasing proportionately. High temperature increases the leakage power consumption of the processor and thus probably escort to thermal runaway. Efficiently managing the energy consumption of the multiprocessor systems in order to increase the battery lifetime is a major challenge in multiprocessor platforms. This article presents Thermal Energy aware proportionate scheduler (TEAPS) to reduce leakage power consumption. Simulation experiment illustrate that TEAPS reduces 16% of energy consumption wit

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Jie, SONG, ZHU Yuting, LIANG Danxi, CHENG Qing, YAO Dawei, and BAO Weihan. "Hydrogen energy system for renewable energy consumption." E3S Web of Conferences 233 (2021): 01083. http://dx.doi.org/10.1051/e3sconf/202123301083.

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As a kind of high-quality secondary energy, hydrogen has great potential of application in energy storage and utilization and contributes to consumption of renewable energy in electric power systems. To further increase the proportion of renewable energy in primary energy consumption, this article introduces a hydrogen energy system for renewable energy consumption. In this article, significance and necessity of developing hydrogen energy system are elaborated, the overall structure of hydrogen energy system is presented, key technologies involved with hydrogen system are listed, economical ef

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Liu, Zongyue, Zongxin Li, Boqun Zhang, and Hui Zhao. "Multi-source energy flow model analysis for urban systems." Journal of Physics: Conference Series 2953, no. 1 (2025): 012006. https://doi.org/10.1088/1742-6596/2953/1/012006.

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Abstract Unreasonable energy consumption hinders the sustainable development of cities. This study developed a multi-source energy flow (MEF) model based on the input-output table (IOT) to analyze energy consumption in Fujian Province. Combining IOT and energy consumption can help policy makers know the characteristics of energy consumption between sectors. Results show that the indirect energy consumption (203.43×106 tons of standard coal equivalent (SCE)) in Fujian Province is greater than the direct energy consumption (74.40×106 tons SCE). The EGW has the highest direct energy consumption (

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Fritz, Eckert, Larry Blow, Johannes Kluhspies, Roland Kircher, and Michael H. Witt. "Energy consumption of track-based high-speed trains: maglev systems in comparison with wheel-rail systems." Transportation Systems and Technology 4, no. 3 suppl. 1 (2018): 134–55. http://dx.doi.org/10.17816/transsyst201843s1134-155.

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Background: The energy consumption of a high-speed system is an important part of its total operational costs. This paper compares the secondary energy demand of different wheel-rail systems, such as ICE, TGV and Shinkansen, and maglev systems, such as Transrapid and Chuo Shinkansen. In the past, energy values of systems with different conditions (train configuration, dimension, capacity, maximum speed) were frequently compared. The comparative values were often represented by the specific energy consumption based on passenger capacity and line-kilometer values. Aim: The goal is to

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Victorovna Morozova, Tatiana, Reza Alayi, John William Grimaldo Guerrero, Mohsen Sharifpur, and Yaser Ebazadeh. "Investigation and Optimization of the Performance of Energy Systems in the Textile Industry by Using CHP Systems." Sustainability 14, no. 3 (2022): 1551. http://dx.doi.org/10.3390/su14031551.

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With the general progression of small communities toward greater industrialization, energy consumption in this sector has increased. The continued growth of energy consumption seen in Iran, along with the low efficiency of production, transmission, and the distribution of energy, has led to the projection of an unfavorable future for this sector. The purpose of this study is to reduce fuel consumption and increase system efficiency by considering the optimal position of the turbine. In this regard, turbine modeling has been performed by considering different positioning scenarios. Afterward, t

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Correa Salazar, Luis Hernando. "INCREASED EFFICIENCY IN MASSIVE TRANSPORT SYSTEMS BY PROGRAMMING SPEED PROFILES BETWEEN SEGMENTS." Ingeniería Investigación y Desarrollo 23, no. 1 (2023): 5–13. http://dx.doi.org/10.19053/1900771x.v23.n1.2023.16121.

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This study aimed to estimate the specific energy consumption in massive metro-type transport systems, with the aim of guiding the identification of projects aimed at increasing energy efficiency. To achieve the above purposes, this research focused on the estimation, through a software application, of the specific consumption of electrical energy. Results of simulations carried out with an application developed in MATLAB, to generate speed profiles in the operation of the train, allow to observe the sensitivity of the specific consumption of electrical energy to changes made in the cruising sp

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Ji, Haofan. "Energy Consumption Analysis Model of Typical Cogeneration Systems." Journal of Physics: Conference Series 2160, no. 1 (2022): 012046. http://dx.doi.org/10.1088/1742-6596/2160/1/012046.

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Abstract At present, China’s urban heating system consumes a lot of energy and is seriously polluted. Our government is working hard to develop urban natural gas regional heating systems to replace traditional coal-fired heating to reduce the serious impact of coal combustion emissions on the urban atmospheric environment during the heating season. On this basis, the characteristics of traditional energy efficiency comparison methods and the problems encountered by these traditional methods in the energy efficiency analysis and application of distributed energy cold, hot and power multigenerat

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Evtimov, Ivan, Rosen Ivanov, and Milen Sapundjiev. "Energy consumption of auxiliary systems of electric cars." MATEC Web of Conferences 133 (2017): 06002. http://dx.doi.org/10.1051/matecconf/201713306002.

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Petrov, V., and K. Yordanov. "Application of hybrid systems for sustainable energy consumption." IOP Conference Series: Earth and Environmental Science 1380, no. 1 (2024): 012009. http://dx.doi.org/10.1088/1755-1315/1380/1/012009.

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Abstract A hybrid system is generally a complex combination of different compounds which are connected in accordance with specific rules and controlled by specific algorithms and/or strategies. Indeed, any distribution and usage of the various components can be identified as a hybrid system. Moreover, any device in which different parts are properly combined to fulfill specific demands, even if they are not exchangeable and do not connect with each other, can be classified as a hybrid system. Due to its high energy consumption, the heating, ventilation, and air conditioning (HVAC) system often

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NIEDBAŁA, Ryszard. "Minimization of energy consumption in underfloor heating systems." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 1 (2017): 51–54. http://dx.doi.org/10.15199/48.2017.01.13.

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Barbashov, Nikolay, and Anastasia Polyantseva. "Reducing the energy consumption of lifting machines." E3S Web of Conferences 525 (2024): 03015. http://dx.doi.org/10.1051/e3sconf/202452503015.

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Modern lifting machines have the ability to recover braking energy and therefore have high energy efficiency. However, the control systems of such machines are of considerable complexity and require the use of storage devices if they work in closed energy supply systems. The paper presents methods for increasing the efficiency of lifting devices at an early stage of design by partial balancing in order to equalize the load during ascent and descent. The technical solutions that can improve the efficiency of modern lifts and shaft elevator systems are presented.

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Fritz, WLO, and MTE Kahn. "Energy efficient lighting and energy management." Journal of Energy in Southern Africa 17, no. 4 (2006): 33–38. http://dx.doi.org/10.17159/2413-3051/2006/v17i4a3198.

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Energy management and the application of energy consumption reduction methods is high on the priority list of South Africa’s electrical supply utility, Eskom. One of Eskom’s Demand Side Management (DSM) recovery plan steps was the establishment of a subsidy programme for energy auditing and energy efficient lighting. A need arose to implement new lighting designs and to improve existing lighting systems. These improved lighting systems are used as recommendations in Energy Audits to achieve lighting efficiency and energy consumption reduction. It also highlights and promotes cost effective des

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Alvarino, Natalia Ivaneth Luna, Vladimir Sousa Santos, and Jairo Ricardo González. "Design of Photovoltaic Systems in Industrial Electrical Systems Considering Power Quality." International Journal of Energy Economics and Policy 14, no. 3 (2024): 142–53. http://dx.doi.org/10.32479/ijeep.15770.

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This paper presents a comprehensive design methodology for photovoltaic systems (PVS) integrated into industrial electrical systems (IES), with a specific focus on preserving power quality (PQ). The 10-step methodology, ranging from initial interviews to detailed technical, energy, and economic assessments, is novel for its multi-factorial approach that combines an Excel application with ETAP software, prioritizing considerations for PQ. Evaluation across four scenarios demonstrated varying outcomes. In the worst-case technical and energy scenario, PVS installation on Point of Common Connectio

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Koroteev, Dmitry, Tatiana Koroteeva, and Jueru Huang. "Forecasting energy consumption in home energy management systems using machine learning method." Construction and Architecture 11, no. 2 (2023): 6. http://dx.doi.org/10.29039/2308-0191-2023-11-2-6-6.

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Reducing energy consumption by capital construction projects at all stages of their life cycle is an urgent task for the construction industry and the housing and communal complex. The article discusses ways to reduce energy costs in the operation of residential buildings. The aim of the study is to develop a methodology for predicting energy costs when using a home energy management system based on the machine learning method. All devices included in the "smart home" system are divided into three types, for each of them a method for calculating energy consumption is described. The algorithm o

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Sun, He, Yutong Ding, Kaigan Zhang, et al. "Online energy consumption optimization method for rework production systems." Journal of Physics: Conference Series 2369, no. 1 (2022): 012094. http://dx.doi.org/10.1088/1742-6596/2369/1/012094.

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Aiming at the problems of high equipment composition complexity, long idle time of idle machines, and difficulty in online optimization of energy consumption in the production system that adopts the “immediate rework” mechanism, an online energy consumption optimization method for rework production systems is proposed. A digital model of production system energy consumption for the “immediate rework” mechanism is established, and real-time data is integrated to realize online energy consumption optimization based on the optimal buffer threshold. Taking the module production line of a battery w

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Hercegová, Katarína, Tatyana Baranovskaya, and Natalya Efanova. "Smart technologies for energy consumption management." SHS Web of Conferences 128 (2021): 02005. http://dx.doi.org/10.1051/shsconf/202112802005.

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The article aims at classifying and describing smart technologies and solutions that are currently used for energy consumption management. It stresses the positive impact of technology on the environment, with a focus on renewable energy, energy efficiency and climate change. The article analyses the green technologies used in energy generation and storage and contemplates over the Internet of Things (IoT) concept that enabled using super-fast flows of information from the generator to the consumer and back with the purpose of optimizing energy management and impacting the demand-side response

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Kott and Kott. "Generic Ontology of Energy Consumption Households." Energies 12, no. 19 (2019): 3712. http://dx.doi.org/10.3390/en12193712.

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The smart concept has changed both household electrical systems (smart home) and the whole electric power system (smart grid). It has facilitated much more efficient electrical energy management. Therefore, there is a need to develop a detailed model and knowledge base at the micro-system level, which can respond to changes in the electric power system. Extensive knowledge (know-how), large financial outlays, and access to modern technologies are necessary in order to design and build a functional smart grid. The first installations were made in highly developed countries. Currently, a signifi

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Huang, Wen Hui, Shuo Wang, and Yu Zhou. "Low Energy Consumption Metro Station System Technology." Advanced Materials Research 850-851 (December 2013): 342–45. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.342.

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Public railway transportation has been universally utilized in urban cities, for it faster, safer and more convenient way of transportation. Due to the development of science and technology, todays metro stations are intelligent and electronic. However, it would lead to more energy consumption while lots of electric facilities (e.g. ticket-checking system, air-conditioner, etc.) are widely operated. This article will present sorts of solutions to decrease the energy consumption on metro station, utilizing energy recuperation ticket-checking systems. Firstly, the feasibility of this solution wo

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Hayamizu, Yuto, Masaru Kitsuregawa, and Kazuo Goda. "Proactive Energy Management in Database Systems." ACM SIGEnergy Energy Informatics Review 4, no. 5 (2024): 154–59. https://doi.org/10.1145/3727200.3727223.

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Reducing carbon footprint of datacenters is an unavoidable challenge for sustainable IT infrastructure. As the core software for data processing and management, energy efficiency in database systems has arisen as an important research subject. The tradeoff between power consumption and performance has been extensively studied across various workloads and query optimization techniques have been proposed to improve energy efficiency. Utilization of general-purpose power management methods such as dynamic frequency/voltage scaling and device hibernation in the context of database systems has also

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Abiyeva, G. S., G. B. Aldabergenova, and B. A. Balapanov. "Research of recirculation systems and air recovery systems." E3S Web of Conferences 291 (2021): 02012. http://dx.doi.org/10.1051/e3sconf/202129102012.

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The scientific work “Research of recirculation systems and air recovery systems” is devoted to the analysis and selection of the most optimum ventilation systems that will reduce the cost of published products by reducing energy consumption. The purpose of this work is to discover and experimentally study the characteristics that affect the use of thermal and electric energy by ventilation systems and air heating in the industry, as well as to create solutions that allow to achieve a decrease in the consumption of fuel and energy resources for these systems. The relevance of the work is to red

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Javied, Tallal, Sven Kreitlein, Alireza Esfandyari, and Jörg Franke. "Identification of Energy Consumption and Energy Saving Potentials of Electric Drive Systems." Applied Mechanics and Materials 655 (October 2014): 21–26. http://dx.doi.org/10.4028/www.scientific.net/amm.655.21.

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This paper provides an overview of different types of motor systems and several measurement principals in order to determine the electricity usage of these motors. It focuses on the measurement of electric values of different drive systems. A concept of rough analysis using software or excel based tools is discussed, which shows that it is a lot easier, efficient, and cost effective to first pin point the main electricity consumers and then initiate a fine analysis of these selected systems before a cost and time intensive process of measuring every single drive system is undertaken. To achiev

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Bajan, Bartłomiej, Aldona Mrówczyńska-Kamińska, and Walenty Poczta. "Economic Energy Efficiency of Food Production Systems." Energies 13, no. 21 (2020): 5826. http://dx.doi.org/10.3390/en13215826.

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The current global population growth forecast carries with it a global increase in demand for food. In order to meet this demand, it is necessary to increase production, which requires an increase in energy consumption. However, forecasted energy production growth is insufficient and traditional sources of energy are limited; hence, it is necessary to strive for greater energy efficiency in food production systems. The study aimed to compare the economic energy efficiency of food production systems in selected countries and identify the sources of diversification in this field. As a measure of

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Chao, Kuo-Ming, Nazaraf Shah, Raymond Farmer, and Adriana Matei. "Energy Management System for Domestic Electrical Appliances." International Journal of Applied Logistics 3, no. 4 (2012): 48–60. http://dx.doi.org/10.4018/jal.2012100104.

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A variety of energy management systems are currently available for domestic domain, and many are concerned with real-time energy consumption monitoring and display of statistical and real time data of energy consumption. Although these systems play a crucial role in providing a detailed picture of energy consumption in home environment and contribute to influencing energy consumption behavior, households are required to then take appropriate measures to reduce energy consumption. Some energy management systems provide energy saving tips but they do not take into account households’ profiles an

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Ismail, Mahmoud M. "A Machine Learning Approach for Energy-Efficient IoT Systems." Journal of Intelligent Systems and Internet of Things 1, no. 1 (2020): 61–69. http://dx.doi.org/10.54216/jisiot.010105.

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The energy challenge in IoT refers to the significant energy consumption of IoT devices, which can lead to sustainability issues, shorter battery life, and increased operating costs. IoT devices are known for their high energy consumption, and optimizing their energy usage can have a significant impact on sustainability and cost. Machine learning (ML) can learn from data and patterns to predict and control energy consumption in IoT systems, making them more energy efficient. The main contribution of this paper is the establishment of a novel deep learning framework for enhanced predictive mode

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Gracia, Darío Suárez, Alexandra Ferrerón, Luis Montesano Del Campo, Teresa Monreal Arnal, and Víctor Viñals Yúfera. "Revisiting LP-NUCA Energy Consumption." ACM Transactions on Architecture and Code Optimization 11, no. 2 (2014): 1–26. http://dx.doi.org/10.1145/2632217.

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Popescu, Mihaela. "Energy Efficiency in Electric Transportation Systems." Energies 15, no. 21 (2022): 8177. http://dx.doi.org/10.3390/en15218177.

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Increasing energy efficiency in electric transportation systems is a topical issue, considering the worldwide concern for reducing CO2 emissions, and especially through the significant reduction in energy loss and energy consumption [...]

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Zhu, Yi. "Modeling and Analysis of Real-Time Software Based on Resource Timed Communicating Sequential Process." Advanced Materials Research 225-226 (April 2011): 802–6. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.802.

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With the progress of low-power research on real-time systems, the estimation and analysis of energy consumption of real-time systems becomes a hot topic. Process Algebra is a formal method fit for analyzing the functional properties of real-time systems, but it can not analyze the energy consumption properties. This paper proposes a formal method support for modeling and analyzing energy consumption of real-time software. Resource Timed Communicating Sequential Process (RTCSP) is proposed in this paper can handle it efficiently by extending resource information on Timed Communicating Sequentia

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Montero, Puertas Irene, Teresa Miranda, Barrero Fernando Barrena, Justo Francisco José Sepúlveda, and José Ignacio Arranz. "Analysis of photovoltaic self-consumption systems for hospitals in southwestern Europe." Energy & Buildings 269 (June 15, 2022): 112254. https://doi.org/10.1016/j.enbuild.2022.112254.

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A proposal is made for the energy modernization of a group of hospitals in south-western Europe, through the installation of photovoltaic self-consumption systems based on their electricity consumption patterns. For this purpose, the energy demand of these hospitals was examined in detail, selfconsumption photovoltaic systems were designed with simulation software and the energy and environmental results were studied. The average annual consumption curve of the hospitals favoured the optimal exploitation of the photovoltaic systems, obtaining very high self-consumption

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Tang, Xiaoyong, and Weizhen Tan. "Energy-Efficient Reliability-Aware Scheduling Algorithm on Heterogeneous Systems." Scientific Programming 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/9823213.

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The amount of energy needed to operate high-performance computing systems increases regularly since some years at a high pace, and the energy consumption has attracted a great deal of attention. Moreover, high energy consumption inevitably contains failures and reduces system reliability. However, there has been considerably less work of simultaneous management of system performance, reliability, and energy consumption on heterogeneous systems. In this paper, we first build the precedence-constrained parallel applications and energy consumption model. Then, we deduce the relation between relia

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Huang, Zhijia, Xiaofeng Chen, Kaiwen Wang, and Binbin Zhou. "Air Conditioning Load Forecasting and Optimal Operation of Water Systems." Sustainability 14, no. 9 (2022): 4867. http://dx.doi.org/10.3390/su14094867.

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The energy consumption of buildings accounts for about 30% of the total energy consumption in China, and the energy consumption of central air conditioning systems accounts for more than half of the total energy consumption. In order to improve energy efficiency, this study used a hotel’s central air conditioning system as the research object. Based on the data of the hotel energy management system, the load-forecasting model of the central air conditioning system based on support vector regression (SVR) was established by MATLAB. Based on the working principle of a chiller, chilled water pump

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Dumitriu, Ionuț, and Ion V. Ion. "Influence of Operating Conditions on the Energy Consumption of CO2 Supermarket Refrigeration Systems." Processes 13, no. 7 (2025): 2138. https://doi.org/10.3390/pr13072138.

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Integrating ejectors into CO2 transcritical refrigeration systems to reduce energy consumption has been performed successfully throughout the industry in recent years. The objective of the present work is to investigate the effect of indoor and outdoor operating conditions on the energy efficiency of ejector expansion supermarket refrigeration plants. The analysis uses the measured energy consumptions and loads for two supermarket refrigeration plants operating in two cities in the Republic of Moldova (Chisinau and Balti). A model for the prediction of the plant’s annual energy consumption and

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de Souza, Danilo Ferreira, Emeli Lalesca Aparecida da Guarda, Ildo Luis Sauer, and Hédio Tatizawa. "Energy Efficiency Indicators for Water Pumping Systems in Multifamily Buildings." Energies 14, no. 21 (2021): 7152. http://dx.doi.org/10.3390/en14217152.

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With the current concerns about sustainable development and energy consumption in buildings, water pumping systems have become essential for reducing energy consumption. This research aims to develop guidelines for the energy assessment of water pumping systems in multifamily buildings. The methodological procedures are: (i) definition of the efficiencies of electric motors; (ii) definition of pump efficiency levels; (iii) determination of energy consumption; and (iv) construction of the efficiency scale and guidelines for projects and assessments. The results obtained were that centrifugal pu

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Alıoghlı, Abdul Amir, and Feyza Yıldırım Okay. "IoT-Based Energy Consumption Prediction Using Transformers." Gazi University Journal of Science Part A: Engineering and Innovation 11, no. 2 (2024): 304–23. http://dx.doi.org/10.54287/gujsa.1438011.

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With the advancement of various IoT-based systems, the amount of data is steadily increasing. The increase of data on a daily basis is essential for decision-makers to assess current situations and formulate future policies. Among the various types of data, time-series data presents a challenging relationship between current and future dependencies. Time-series prediction aims to forecast future values of target variables by leveraging insights gained from past data points. Recent advancements in deep learning-based algorithms have surpassed traditional machine learning-based algorithms for ti

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