Ant colony optimization and fuzzy logic have been used for the optimization of energy consumption, but still there is a gap in knowledge regarding cooling scenarios, and the resident comfort index …
DetailsThe use of energy consumption forecasts enables BEMSs to effectively manage and optimize energy usage within buildings. By accurately predicting energy demands, …
DetailsIn the complex working environment of the Internet of Things (IoT), there are many differences in the work between many devices, as well as complex associations and energy constraints. The entire task scheduling system needs to consume a large amount of energy for communication. In order to describe its relevance and constraint …
DetailsAlso, RUBSM's and JUBSM BH power consumption is higher than the proposed method due to more UEs being connected to the nearest BS, which raises the BH load on the network. The total power consumption of the HetNet, i.e., AN plus BH power consumption on different sizes of UEs is shown in Fig. 5. As observed, the proposed …
DetailsThe internal components of a smart building interact through a compatible fabric and logic. A smart building integrates systems, structure, services, management, and their interrelationships …
DetailsEnergy saving is a problem of growing importance due to the low-energy utilization and increasing environmental awareness. However, the challenge of energy optimization is to assure the accuracy of the energy forecast model. As a full understanding of material-cutting energy is a key aspect of machining process, energy …
Detailsregarding energy consumption optimization has been done, but still, work is in progress to make the systems smarter regarding energy optimization [11]. To the best of our knowledge, no review paper has covered the literature on energy consumption optimization and energy consumption scheduling in smart homes. Therefore, this …
DetailsGoogle DeepMind graph showing results of machine learning test on power usage effectiveness in Google data centers. Our machine learning system was able to consistently achieve a 40 percent reduction in the amount of energy used for cooling, which equates to a 15 percent reduction in overall PUE overhead after accounting for electrical …
DetailsUse Energy Star® approved and/or FEMP-designated energy efficient products or products that meet or exceed Department of Energy standards. Evaluate energy …
DetailsEnergy Consumption Optimization of Edge Computing Based on Reinforcement Learning. Published under licence by IOP Publishing Ltd Journal of Physics: Conference Series, Volume 2246, 2022 8th International Symposium on Sensors, Mechatronics and Automation System 14/01/2022 - 16/01/2022 Online Citation XiangYu …
DetailsDelay-sensitive tasks account for an increasing proportion of all tasks on the Internet of Things (IoT). How to solve such problems has become a hot research topic. Delay-sensitive tasks scenarios …
DetailsAs shown in Fig. 1, the starting point of the proposed energy consumption optimization method was energy prediction, and the endpoint was the optimized PLR i value. In this study, the meta-learning method [33] avoided getting stuck in chasing more complex and updated prediction models.
DetailsIn recent years, companies have employed numerous methods to lower expenses and enhance system efficiency in the oilfield. Energy consumption has constituted a significant portion of these expenses. This paper introduces a normalized consumption factor to effectively evaluate energy consumption in the oilfield. …
DetailsAccording to consumer demand, power demand will sharply rise in the future. This need for power is essential for the growth of our country. Therefore, managing energy is crucial to achieve consumer satisfaction and a high standard of life. The traditional grid has been transformed into a smart grid for smart energy management through the …
DetailsThe optimization problems are solved by the MSEC-D algorithm. Numerical results demonstrate the proposed algorithm can achieve better system performance compared with other schemes, to achieve the efficient transmission of data. The optimization of system energy consumption in multi-source and multi-path . …
DetailsMaximizing regenerative energy utilization is an important way to reduce substation energy consumption in subway systems. Timetable optimization and energy storage systems are two main ways to improve improve regenerative energy utilization, but they were studied separately in the past. To further improve energy conservation while …
DetailsBy using Energy Use Optimization solutions on AWS, organizations can track energy use and their CFPs, implement targeted efficiency measures, and reduce overall energy and …
DetailsEnergy optimization refers to the process of managing energy consumption to minimize waste and maximize efficiency. Demand optimization, a more complex energy optimization strategy, focuses on aligning energy usage with demand patterns to avoid …
DetailsHeating, ventilation, and air conditioning (HVAC) energy consumption now accounts for a major portion of energy use for buildings. Therefore, finding the optimal energy-saving control strategy for HVAC systems to optimize energy consumption has become crucial in realizing energy savings, emission reductions, and green buildings. …
DetailsUsing the proposed algorithm to minimize energy consumption in the IoT is possible due to the algorithm's ability to mitigate the problem by considering the number of parameters that can have a significant impact on performance, which is the goal of many optimization approaches. Keywords: Internet of Things; energy consumption; …
DetailsEnergy usage from the battery is seen two times, one is to charging the battery, and the other is when discharging the battery. The total load demand is shown in Figure 6 with its respective shiftable and …
DetailsFuture work should focus on the following three areas: optimizing the energy consumption of each energy unit and designing a multi-objective process parameter optimization by considering factors such as cost, strength, and environment. Finally, optimizing the energy usage of different AM units is of great significance for …
DetailsSix ways to optimize energy consumption in Manufacturing. Maximize manufacturing efficiency while minimizing energy consumption in manufacturing through practical strategies and initiatives, enhancing sustainability goals and reducing costs. Photo by Rob Lambert on Unsplash. In an era where sustainable development is at the forefront of …
DetailsThe electric drive thermal management system of electric vehicles is an important part of electric vehicles. To improve the cooling effect of the electric drive system and reduce energy consumption, a cooling scheme combining the spray oil cooling of the motor end winding with the cooling water jacket of the motor shell and the water cooling …
DetailsConsidering the energy consumption and memory usage of MAUP, we have conducted optimizations to reduce consumption on both fronts. First, we define an optimization problem aimed at reducing UAV energy consumption. Second, we transform the defined optimization problem into a reinforcement learning problem and design MAUP to solve it.
DetailsReducing energy use in your home saves you money, increases energy security, reduces pollution, and reduces the cost of home renewable energy systems.
DetailsOur machine learning system was able to consistently achieve a 40 percent reduction in the amount of energy used for cooling, which equates to a 15 percent reduction in overall PUE overhead after accounting for electrical losses and other non-cooling inefficiencies. It also produced the lowest PUE the site had ever seen.
DetailsEnergy consumption optimization strategy of 5G base stations considering variable threshold sleep mechanism. In this section, an ECOS-BS strategy is proposed to solve the 5G BS energy consumption optimization problem (formulated in terms of the system model) presented in Section 2. To reduce complexity, the strategy can be …
DetailsThis paper presents a downlink reconfigurable intelligent surface (RIS)-assisted half-duplex (HD) cooperative rate-splitting multiple access (C-RSMA) networks. The proposed system model is built up considering one base station (BS), one RIS, and two users. With the goal of minimizing the network energy consumption, a joint framework to optimize the …
DetailsAGA is adopted to optimize the time scaling function to reduce the energy consumption. Abstract Due to wide distribution and low energy efficiency, the energy-saving of industrial robots draws more and more attention, and a large number of methods have emerged to predict or optimize the energy consumption (EC) of robots.
DetailsData centers consume energy to run, maintain and cool IT servers; Data center cooling can consume up to 40 percent of total power. This paper focuses on testing the effectiveness of an AI software solution to optimize power consumption while servers are running at a predetermined load.
DetailsThe energy consumption of coking process decreased by 12.57 kgce/t-co. The pelleting process has the least reduction in energy consumption, which is 1.44 kgce/t-pe. After optimization, energy consumption of the ISMP is 419.95 kgce/t-s, which is a decrease of 117.73 kgce/t-s compared to before optimization, with a decrease of 21.9%.
DetailsOptimizing energy consumption of industrial robots is an important consideration for manufacturers and industries which can lead to significant cost savings and reduce environmental impact [13].Optimizing energy consumption in industrial robots can have significant benefits, such as reducing operational costs, increasing production …
DetailsPE series jaw crusher is usually used as primary crusher in quarry production lines, mineral ore crushing plants and powder making plants.
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