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Journal articles on the topic 'Load shifting technique'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

Alsaedi, Malik Abdulrazzaq Jabbar, Hussein Jumma Jabir, and Baraa Munqith Albaker. "Load shifting impact on generating adequacy assessment during peak period." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 3 (2022): 1217–26. https://doi.org/10.11591/ijeecs.v25.i3.pp1217-1226.

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The load shifting technique is widely implemented in electrical power generation due to its considerable impact on system reliability. The evaluation of load shifting benefits towards the adequacy of generation systems requires an accurate assessment. If the generation unit’s capacity is insufficient to meet the system load, then assistance is required from alternative sources. Load shifting, as a primary demand-side management technique, is used efficiently in electrical power networks given that the energy clipped/curtailed owing to load curtailment and peak clipping can be recovered d

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Alsaedi, Malik Abdulrazzaq, Hussein Jumma Jabir, and Baraa Munqith Albaker. "Load shifting impact on generating adequacy assessment during peak period." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 3 (2022): 1217. http://dx.doi.org/10.11591/ijeecs.v25.i3.pp1217-1226.

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<p><span>The load shifting technique is widely implemented in electrical power generation due to its considerable impact on system reliability. The evaluation of load shifting benefits towards the adequacy of generation systems requires an accurate assessment. If the generation unit’s capacity is insufficient to meet the system load, then assistance is required from alternative sources. Load shifting, as a primary demand-side management technique, is used efficiently in electrical power networks given that the energy clipped/curtailed owing to load curtailment and peak clipping can

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3

Venkatesh, Banala, Padmini Sankaramurthy, Bharatiraja Chokkalingam, and Lucian Mihet-Popa. "Managing the Demand in a Micro Grid Based on Load Shifting with Controllable Devices Using Hybrid WFS2ACSO Technique." Energies 15, no. 3 (2022): 790. http://dx.doi.org/10.3390/en15030790.

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Demand Side Management (DSM) is an effective tool for utilities through reducing the demand of peak load and controlling the utilization of the energy of the system. The implementation of DSM provides benefits for utilities and is profitable for the customers who are involved in this process. DSM based on a load shifting strategy is proposed in this paper by employing various devices to minimize the energy consumption pattern in the system. The proposed hybrid strategy is the joint implementation of the Wingsuit Flying Search Algorithm (WFSA) and Artificial Cell Swarm Optimization (ACSO). The

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Jasim, Ali M., Basil H. Jasim, Soheil Mohseni, and Alan C. Brent. "Energy Internet-Based Load Shifting in Smart Microgrids: An Experimental Study." Energies 16, no. 13 (2023): 4957. http://dx.doi.org/10.3390/en16134957.

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This study investigated a grid-connected smart microgrid (MG) system integrating solar photovoltaic (PV) panels and a battery energy storage system (BESS) as distributed energy resources (DERs) to locally serve residential loads. The load-shifting demand-side management (DSM) technique was employed to effectively manage the load appliances. The proposed load-shifting algorithm relies on minimum price incentives to allow customers to allocate their load appliances economically during minimum price periods. The algorithm considers the waiting times and minimum tariff periods for appliances, calc

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Srinithya Kandukuri. "Automated Virtual Machine Migration with Load Shifting Technique Avoiding Latency in Cloud Environment." Communications on Applied Nonlinear Analysis 32, no. 2s (2024): 214–26. http://dx.doi.org/10.52783/cana.v32.2267.

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Efficient management of Virtual Machines (VMs) in cloud computing is one key aspect to achieve the best utilization of resources and performance. The study is about improving Automated Virtual Machine Migration with a Load Shifting Technique in order to reduce latency through the cloud domain. This methodology dynamically distribute the load across multiple VMs by migrating their workloads to other physical hosts determined according certain resource utilization metrics available in real-time. The dynamic and unpredictable nature of cloud workloads requires a solution that is more responsive i

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Raharjo, Jangkung, and Suyatno Budiharjo. "Short-Term Electric Load Forecasting Using Auto Regressive-Candidates Area Shifting Technique." International Journal on Engineering Applications (IREA) 9, no. 5 (2021): 286. http://dx.doi.org/10.15866/irea.v9i5.20668.

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Saedin, Pais, A. Idzwan Tajudin, Ahmad Asri Abd Samat, Nurul Huda Ishak, and Mohamad Adha Mohamad Idin. "A Phase Shifting Technique for Harmonic Reduction in Modern Electrical Distribution Systems." Applied Mechanics and Materials 785 (August 2015): 450–54. http://dx.doi.org/10.4028/www.scientific.net/amm.785.450.

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A conventional electrical distribution system are not designs to deal with harmonics because at that time the linear load conquer the consumer demand. Over the years with growing use of nonlinear load such as personal computer can contribute to harmonics current occur on electrical distribution system. With the presence of harmonics current on electrical distribution system leads in degradation of system performance. Therefore necessary actions are needed in order to minimize harmonics effect. The predominant harmonics should be eliminated from electrical distribution system such as 5th and 7t

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Shahapure, Nagamani H., P. M. Rekha, and N. Poornima. "Threshold Compare and Load Balancing Algorithm to for Resource Optimization in a Green Cloud." Revista Gestão Inovação e Tecnologias 11, no. 4 (2021): 4465–81. http://dx.doi.org/10.47059/revistageintec.v11i4.2473.

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The reduction in the consumption of energy by the cloud data centers is called as green cloud. Green cloud also helps in restraining the waste disposed to the environment. With the increasing demand in cloud computing, there has been an increase in the energy consumption. Green cloud can be achieved by server consolidation and proper load balancing techniques using virtual machine (VM) migration. It is a feature provided by virtualization. The virtual machines are transferred from one host to another. The overhead associated with migration is performance degradation. This can be overcome by pr

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Akpojedje, F.O., and F.O. Odiase. "Modeling of Demand Side Management Scheme for Matching Electricity Supply with Demand in the Nigerian Power System." Nigerian Research Journal of Engineering and Environmental Sciences 6, no. 2 (2021): 618–25. https://doi.org/10.5281/zenodo.5805205.

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<em>The unserved load in the Nigerian power system currently is as a result of the ever-growing gap between electric energy demand and supply which is one of the major causes of frequent power interruptions. Thus, stabilizing the network, equalization of the available electricity supply with the energy demand becomes necessary, of which demand side management (DSM) is a veritable tool being deployed to match the ever-growing energy demand with the available electricity supply. Consequently, this paper presents a concise overview of demand side management scheme and its modeling for matching el

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Gajula, Viswanath, and Rajathy R. "An explorative optimization algorithm for sparse scheduling in-home energy management with smart grid." Circuit World 46, no. 4 (2020): 335–46. http://dx.doi.org/10.1108/cw-06-2019-0057.

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Purpose Electricity utilization at electricity peak hour may differ from every single administration region, for example, mechanical region, business territory and residential zone. This paper introduces a demand-side load management (DSM) strategy, which is one of the utilization of smart grid (SG) that is fit for controlling loads inside the residential working so that the client fulfillment is augmented at least expense. Design/methodology/approach In this paper, a heuristic algorithms-based energy management controller is intended for a residential region in a SG. Here, Antlion Optimizatio

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Saha, Rumpa, Jitendra N. Bera, and Gautam Sarkar. "An Improved Method for Load Taxonomy Using Sample Shifting Technique and Signature Analysis." Electric Power Components and Systems 47, no. 1-2 (2019): 113–27. http://dx.doi.org/10.1080/15325008.2019.1577928.

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El-Razky, Rovan Refaat, Ahmed Ali Dauod, and Kamel El Serafy. "Smart DSM to optimize residential load consumption during energy peaks." Journal of Electrical Engineering 21, no. 3 (2021): 17–23. http://dx.doi.org/10.59168/rzal6375.

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Recently, Demand Side Management (DSM) has played an important role in the smart grid through the optimization of residential load consumption. Smart DSM is a very important tool that permits customers to take right decisions for their energy consumption, it also helps the energy utilities to decrease the over load demand and reshape the load curve. This paper proposes an optimized DSM technique based on smart metering to minimize load consumption, especially during load peaks. Bat Algorithm technique is proposed to optimize the minimum consumption during peak hours according to load type for

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Saha, Rumpa, Jitendra Nath Bera, and Gautam Sarkar. "An alternate approach for power quality computation using sample shifting technique towards load characterization." Measurement 129 (December 2018): 642–52. http://dx.doi.org/10.1016/j.measurement.2018.07.037.

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Moiz, Muhammad, Muhammad Moeez, Saad Shakeel, and Waseem Akram. "Computing the Demand Response in a Renewable Dominated Power System." Journal of Artificial Intelligence and Computing 1, no. 2 (2023): 6–12. http://dx.doi.org/10.57041/4t741a34.

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Demand response refers to action where consumers can significantly optimize the electricity grid by reducing or shifting power consumption during peak periods using time-based rates or economic incentives. In this project, we have proposed a system where a small-scaled distributed generation based on renewable energy, including solar energy, with their coordination control, has been modelled to ensure generation solvency and a demand response strategy based on load shifting technique using a demand response system (DRS) for demand-side proficiency.

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Alquthami, Thamer, Ahmad H. Milyani, Muhammad Awais, and Muhammad B. Rasheed. "An Incentive Based Dynamic Pricing in Smart Grid: A Customer’s Perspective." Sustainability 13, no. 11 (2021): 6066. http://dx.doi.org/10.3390/su13116066.

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Price based demand response is an important strategy to facilitate energy retailers and end-users to maintain a balance between demand and supply while providing the opportunity to end users to get monetary incentives. In this work, we consider real-time electricity pricing policy to further calculate the incentives in terms of reduced electricity price and cost. Initially, a mathematical model based on the backtracking technique is developed to calculate the load shifted and consumed in any time slot. Then, based on this, the electricity price is calculated for all types of users to estimate

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Murtadha Othman, Muhammad, W. Muhammad Faizol Bin W Mustapha, Amirul Asyraf Mohd Kamaruzaman, et al. "Harmonic Load Mitigation Using the Optimal Double Tuned Passive Filter Technique." Indonesian Journal of Electrical Engineering and Computer Science 6, no. 2 (2017): 338. http://dx.doi.org/10.11591/ijeecs.v6.i2.pp338-348.

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Harmonic is one of the power quality disturbances customarily imminent in an unbalanced electrical system. Harmonic represents as the multiple integral of fundamental frequency of voltage and current inflicting towards the shifting in system frequency causing to a disruptive operation of electrical devices. This paper investigates on the performance of passive filter intrinsically by utilizing the inductor and capacitor electrical components to mitigate harmonic problem emanating from an unbalanced electrical system. In particular, explication in this paper will focus on the optimal parameters

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Faradji, Mohamed, Toufik Madani Layadi, and Khaled Rouabah. "A hybrid APSO–ANFIS optimization based load shifting technique for demand side management in smart grids." Indonesian Journal of Electrical Engineering and Computer Science 39, no. 1 (2025): 45. https://doi.org/10.11591/ijeecs.v39.i1.pp45-61.

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Cost and performance are considered important parameters to obtain an optimized configuration for smart grids. In this paper, a new optimization approach, based on a hybrid adaptive particle swarm with an adaptive neurofuzzy inference system (ANFIS) algorithm, has been proposed. This approach allows optimizing demand side management (DSM) using the load shifting technique. The impact of the latter on consumer profile, electricity pricing mechanisms, and overall grid performance are illustrated. In this simulation, the focus lies on modeling DSM using a day-ahead load shifting approach as a min

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Prahallada Mayakonda Basavarajappa, Smitha vishwanath Sajjan, and Manjunatha Hirekeri Malleshappa. "Optimal power allocation for residential network in islanded microgrid using capacity market demand response approach." World Journal of Advanced Research and Reviews 1, no. 1 (2019): 049–58. http://dx.doi.org/10.30574/wjarr.2019.1.1.0113.

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This paper proposes a new demand response algorithm for load shedding and direct load control in smart homes with the goal of lowering peak-to-average ratios and enhancing power balance. The suggested algorithm makes use of two-way communication between distribution agents and smart homes (customers) to provide real-time load control, calculate percentage reductions, and produce distributed load consumption factors. An agent-based residential distribution network with four customers who owned smart appliances was modeled in MATLAB/SIMULINK to validate the technique. The findings show that the

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Chang, Shuang, Dian Liu, and Bahram Dehghan. "The Innovative Research on Sustainable Microgrid Artwork Design Based on Regression Analysis and Multi-Objective Optimization." Systems 11, no. 7 (2023): 354. http://dx.doi.org/10.3390/systems11070354.

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One of the most vital issues in electrical systems involves optimally operating microgrids (MGs) using demand-side management (DSM). A DSM program lowers utility operational costs in one sense but also needs policies that encourage financial incentives in the other. The present study formulates the optimum functioning of MGs using DSM in the form of a problem of optimization. DSM considers load shifting to be a viable option. There are operational limitations and executive limitations that affect the problem, and its objective function aims at minimizing the overall operational prices of the g

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Sonal, Sharma, Gupta Mayank, Sharma Akhilesh, and Gupta Sandeep. "Health Monitoring of a Hospital Building using NDT Technique considering Seismic Load - A Review." Journal of Engineering Analysis and Design 3, no. 1 (2021): 1–6. https://doi.org/10.5281/zenodo.4659610.

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Seismic retrofitting is primarily done to meet the seismic security prerequisites. The arranging of adjustments to existing structures contrasts from new arranging through a critical condition; the current improvement should be taken as the reason of all arranging and building exercises. India is quite possibly the most seismic tremor slanted countries in the world and has experienced a couple of critical or moderate quakes during the latest 15 years. Around 50-60 % of the absolute zone of the nation is defenceless against seismic movement of shifting forces. In this paper we are presenting re

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S, Suresh, Bharanigha V, and Shafeeque Ahmed K. "Modified Two-Stage Interleaved Boost Converter (MTSIBC) For Electric Vehicle Application." International Journal of Environmental Sciences 11, no. 12s (2025): 518–28. https://doi.org/10.64252/sj2hrs40.

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This paper, to extract maximum power from the source, controllers like Maximum Power Point Tracking (MPPT) are used in circuits. This circuit uses Modified Two-Stage Interleaved Boost Converters (MTSIBCs), which link power from the solar photo voltaic system to the load. An Interleaved Boost Converter is modified and the design of a modified Two-Stage Interleaved Boost Converter (MTSIBC) is discussed. The Converter is an essential part of an e-vehicle. To improve the performance of the converter, an Interleaved Boost Converter is modified.A PWM method is used to generate pulses for the MOSFET

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MANOJ, D. PATIL, and BHUPAL KUMBHAR ANAND. "HEURISTIC OPTIMIZATION FOR DEMAND SIDE MANAGEMENT IN SMART GRID." JournalNX - A Multidisciplinary Peer Reviewed Journal 2, no. 7 (2016): 47–51. https://doi.org/10.5281/zenodo.1469436.

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Demand side management (DSM) is major aspects in a smart grid which allows customers to take decision based on information for their consumed energy, which also helps in reduction of peak load demand for the energy producers which enables the reshaping of the load profile. Advantage of doing this will increase the sustainability of the smart grid and benefits in reduction of operational cost and lower production of green house gases. The various strategies available for demand side management uses an traditional energy management system which possesses and certain disadvantages related to algo

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Liu, Cheng, and Jian Qin. "The V2G Technique and its Application in Distributed Generation." Advanced Materials Research 608-609 (December 2012): 1665–70. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.1665.

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Traditional distributed power sources are usually natural energy sources, their output power is not stable and difficult to join up to the grid. Battery electric vehicles(BEV) based on V2G technique is a new kind of Distributed Generation(DG). This paper introduces a V2G technique. A V2G-based BEV could be used to realize load shifting and stabilize the disturbance for DG's joining up with the grid. Many countries started researching V2G technique and in China NARI Group Corporation and Xuji Group Corporation have researched and started manufacturing practical V2G device. This paper also shows

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Kaur, Mandeep, and Dr Rajni Mohana. "A Software Agent Based Technique for Load Balancing in Partitioned Cloud." International Journal of Engineering & Technology 7, no. 4.12 (2018): 13. http://dx.doi.org/10.14419/ijet.v7i4.12.20984.

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Large number of users are shifting to the cloud system for their different kind of needs. Hence the number of applications on public cloud is increasing day by day. Public clouds considered and is the most convenient platform for common cloud users with generic needs and lesser security concerns. Public cloud can cater to the needs of a large group of users and provide a variety of services. Lower cost and timely availability are the other advantages one expects from public clouds. These features make it very much convenient and attractive choice. But on the other hand, handling public cloud b

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Smran, Ahlam, Mariam Abdullah, Norasmatul Akma Ahmad, et al. "Evaluation of stress distributions of calcium silicate-based root canal sealer in bulk or with main core material: A finite element analysis study." PLOS ONE 19, no. 3 (2024): e0299552. http://dx.doi.org/10.1371/journal.pone.0299552.

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This research aimed to assess the stress distribution in lower premolars that were obturated with BioRoot RCS or AH Plus, with or without gutta percha (GP), and subjected to vertical and oblique forces. One 3D geometric model of a mandibular second premolar was created using SolidWorks software. Eight different scenarios representing different root canal filling techniques, single cone technique with GP and bulk technique with sealer only with occlusal load directions were simulated as follows: Model 1 (BioRoot RCS sealer and GP under vertical load [VL]), Model 2 (BioRoot RCS sealer and GP und

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Kaur, Mandeep, and Rajni Mohana. "Static Load Balancing Technique for Geographically Partitioned Public Cloud." Scalable Computing: Practice and Experience 20, no. 2 (2019): 299–316. http://dx.doi.org/10.12694/scpe.v20i2.1520.

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Large number of users are shifting to the cloud system for their different kind of needs. Hence the number of applications on public cloud are increasing day by day. Handling public cloud is becoming unmanageable in comparison to other counterparts. Though fog technology has reduced the load on centralized cloud resources to a remarkable extent, still load handled at cloud end is significantly high. Geographic partitioning of public cloud can resolve these issues by adding manageability and efficiency in this situation. Dividing public cloud in smaller partitions opens ways to manage resources

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Di Mattia, Edoardo, Agostino Gambarotta, Emanuela Marzi, Mirko Morini, and Costanza Saletti. "Predictive Controller for Refrigeration Systems Aimed to Electrical Load Shifting and Energy Storage." Energies 15, no. 19 (2022): 7125. http://dx.doi.org/10.3390/en15197125.

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The need to reduce greenhouse gas emissions is leading to an increase in the use of renewable energy sources. Due to the aleatory nature of these sources, to prevent grid imbalances, smart management of the entire system is required. Industrial refrigeration systems represent a source of flexibility in this context: being large electricity consumers, they can allow large-load shifting by varying separator levels or storing surplus energy in the products and thus balancing renewable electricity production. The work aims to model and control an industrial refrigeration system used for freezing f

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Anthony, Mohanasundaram, Valsalal Prasad, Raju Kannadasan, et al. "Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment." Electronics 10, no. 14 (2021): 1618. http://dx.doi.org/10.3390/electronics10141618.

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This work describes an optimum utilization of hybrid photovoltaic (PV)—wind energy for residential buildings on its occurrence with a newly proposed autonomous fuzzy controller (AuFuCo). In this regard, a virtual model of a vertical axis wind turbine (VAWT) and PV system (each rated at 2 kW) are constructed in a MATLAB Simulink environment. An autonomous fuzzy inference system is applied to model primary units of the controller such as load forecasting (LF), grid power selection (GPS) switch, renewable energy management system (REMS), and fuzzy load switch (FLS). The residential load consumpti

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Battula, Amrutha Raju, Sandeep Vuddanti, and Surender Reddy Salkuti. "A Day Ahead Demand Schedule Strategy for Optimal Operation of Microgrid with Uncertainty." Smart Cities 6, no. 1 (2023): 491–509. http://dx.doi.org/10.3390/smartcities6010023.

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A microgrid energy management system (EMS) with several generation and storage units is crucial in attaining stable and reliable operation. Optimal scheduling of energy resources in EMS becomes arduous due to uncertainty in the forecasting of intermittent renewable sources, electricity pricing, and load demand. However, with the demand response (DR) approaches the operational benefits in the EMS framework can be maximized. In order to improve the cost-effectiveness of the microgrid, a novel day-ahead energy management strategy is proposed for optimal energy allocation of the distributed genera

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Ahmad, Hafiz Ashfaq, Atif Hussain, and Muhammad Waqar Azam. "Bidirectional Power Flow Control Using Phase Shifting Transformer in Multi-Source Systems." Pakistan Journal of Engineering and Technology 8, no. 2 (2025): 1–9. https://doi.org/10.51846/vol8iss2pp1-9.

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In recent years, the use of electrical energy has significantly increased. To meet the growing demand, new generating units have been installed across the country, accompanied by the establishment of extensive transmission networks to deliver this power to the grid, which supplies various loads. Additionally, grids have been interconnected to enhance the reliability and availability of electrical power. In an interconnected electrical network, uneven loading can affect total power transmission from generation to consumer being lower than expected, which results in the utilization of transmissi

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Yogasambhuta Dash. "Modified Genetic Algorithms (GA) for Load balancing in Cloud Computing." Journal of Information Systems Engineering and Management 10, no. 54s (2025): 1–8. https://doi.org/10.52783/jisem.v10i54s.11028.

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The efficiency of the upcoming cloud computing generation will be determined by how rapidly the infrastructure is constructed and how dynamically the resources are utilized. To prevent any one resource from being overworked or underutilised, load balancing divides the fluctuating workload among several nodes. This is one of the primary issues with cloud computing. A skilled load balancer should adjust its strategy in accordance with shifting tasks and conditions. This can be viewed as an optimisation challenge. This research uses a Genetic Algorithm (GA) to suggest a novel load balancing appro

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Ramu, Priyadharshini, Sivasankar Gangatharan, Sankar Rangasamy, and Lucian Mihet-Popa. "Categorization of Loads in Educational Institutions to Effectively Manage Peak Demand and Minimize Energy Cost Using an Intelligent Load Management Technique." Sustainability 15, no. 16 (2023): 12209. http://dx.doi.org/10.3390/su151612209.

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The inclusion of photovoltaics (PV) in electric power supply systems continues to be a significant factor in global interest. However, solar power exhibits intermittent uncertainty and is further unpredictable. Accurate solar generation prediction and efficient utilization are mandatory for power distribution management and demand-side management. Peak demand management and reducing energy costs can be effectively tackled through the implementation of a reliable solar power forecasting system and its efficient utilization. In this regard, the proposed work is related to efficiently managing so

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AlDavood, Monir Sadat, Abolfazl Mehbodniya, Julian L. Webber, Mohammad Ensaf, and Mahdi Azimian. "Robust Optimization-Based Optimal Operation of Islanded Microgrid Considering Demand Response." Sustainability 14, no. 21 (2022): 14194. http://dx.doi.org/10.3390/su142114194.

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This paper presents a new robust scheduling model for an islanded microgrid (MG) considering demand response. The model is expressed as a min–max bilevel optimization problem that tries to minimize the total costs of MG including operation cost of conventional distributed generators, energy storages, renewable energy sources (RES), cost of load shifting, and interruptible/non-interruptible load shedding in the worst situation of uncertainties. The uncertainties associated with renewable power generations and MG demand are modeled via robust optimization method. A hybrid method based on the gen

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Dey, Bishwajit, Gulshan Sharma, and Pitshou N. Bokoro. "A Novel Hybrid Crow Search Arithmetic Optimization Algorithm for Solving Weighted Combined Economic Emission Dispatch with Load-Shifting Practice." Algorithms 17, no. 7 (2024): 313. http://dx.doi.org/10.3390/a17070313.

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The crow search arithmetic optimization algorithm (CSAOA) method is introduced in this article as a novel hybrid optimization technique. This proposed strategy is a population-based metaheuristic method inspired by crows’ food-hiding techniques and merged with a recently created simple yet robust arithmetic optimization algorithm (AOA). The proposed method’s performance and superiority over other existing methods is evaluated using six benchmark functions that are unimodal and multimodal in nature, and real-time optimization problems related to power systems, such as the weighted dynamic econo

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Venmathi, M., and R. Ramaprabha. "Analysis of Three Port Full Bridge and Half Bridge DC-DC Converter Interfacing Renewable Energy System." Advanced Materials Research 768 (September 2013): 3–8. http://dx.doi.org/10.4028/www.scientific.net/amr.768.3.

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This paper presents the comparative dynamic analysis of full bridge and half bridge three port dc-dc converter topology interfacing the renewable energy sources along with the energy storage devices. The three port converter comprises the active bridge circuit and the three winding transformer. It uses single power conversion stage with high frequency link to control power flow between the batteries, load and the renewable energy sources. The power flow between the ports is controlled by phase shifting the square wave outputs of the active bridges in combination with pulse width modulation (PW

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Alrebdi, Abdulrahman, and Ali M. Yousef. "RETRACTED: <i>Optimal Pole Shifting Technique Design Based on Single Area Load Frequency Controller</i>." Journal of Power and Energy Engineering 04, no. 04 (2016): 45–55. http://dx.doi.org/10.4236/jpee.2016.44005.

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Agajie, Takele Ferede, Armand Fopah-Lele, Ahmed Ali, et al. "Optimal Sizing and Power System Control of Hybrid Solar PV-Biogas Generator with Energy Storage System Power Plant." Sustainability 15, no. 7 (2023): 5739. http://dx.doi.org/10.3390/su15075739.

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In this paper, the electrical parameters of a hybrid power system made of hybrid renewable energy sources (HRES) generation are primarily discussed. The main components of HRES with energy storage (ES) systems are the resources coordinated with multiple photovoltaic (PV) cell units, a biogas generator, and multiple ES systems, including superconducting magnetic energy storage (SMES) and pumped hydro energy storage (PHES). The performance characteristics of the HRES are determined by the constant power generation from various sources, as well as the shifting load perturbations. Constant power g

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Sutrisno, Andi. "Analysis of Maxim Violations on Japanese Comic Strip “Kariage Kun” Vol 49 and its Indonesian Translation." Linguistika: Buletin Ilmiah Program Magister Linguistik Universitas Udayana 30, no. 1 (2023): 62. http://dx.doi.org/10.24843/ling.2023.v30.i01.p08.

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Humor could be created by violation of maxim of the cooperative principle as proposed by Grice. In Kariage Kun, a well-known Japanese humor comic, it is challenging to analyze what maxim violation is explored to create humor, as it represents a co-interplay between a series of images and text. This study aimed to analyze the pattern of maxim violation in source text from Kariage Kun vol 49 (from word level to sentence level) and to compare whether the pattern of maxim violation is similar or shifting in the Indonesian version. The result of this study shows that the author of the comic explore

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Lamultree, Suthasinee. "Moving Reference Planes of Unit Cells of Reciprocal Lossy Periodic Transmission-Line Structures." ECTI Transactions on Electrical Engineering, Electronics, and Communications 16, no. 2 (2018): 15–20. http://dx.doi.org/10.37936/ecti-eec.2018162.171331.

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An analysis of moving reference planes of unit cells of reciprocal lossy periodic transmission-line (TL) structures (RLSPTLSs) by using the equivalent bi- characteristic-impedance transmission line (BCITL) model is presented. Applying the BCITL theory, only the equivalent BCITL parameters (characteristic impedances for wave propagating in forward and reverse directions and associated complex propagation constant) are of interest. In the analysis, an arbitrary infinite RLSPTLS is firstly considered by shifting a reference position of unit cells along TLs. Then, a semi-infinite terminated RLSPTL

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Manzoor, Sohaib, Khalid Bashir Bajwa, Muhammad Sajid, et al. "Modeling of Wireless Traffic Load in Next Generation Wireless Networks." Mathematical Problems in Engineering 2021 (August 30, 2021): 1–15. http://dx.doi.org/10.1155/2021/7293093.

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Software defined WiFi network (SD-WiFi) is a new paradigm that addresses issues such as mobility management, load management, route policies, link discovery, and access selection in traditional WiFi networks. Due to the rapid growth of wireless devices, uneven load distribution among the network resources still remains a challenging issue in SD-WiFi. In this paper, we design a novel four-tier software defined WiFi edge architecture (FT-SDWE) to manage load imbalance through an improved handover mechanism, enhanced authentication technique, and upgraded migration approach. In the first tier, th

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Akkari, Dhanush, Shinde Nikhil, Nayeemulla Syed, and Biradar Prajakta. "Towards Sustainable Smart Systems: A Deep Learning Approach to Electric Load Forecasting, Materials Synthesizability, and Machine Learning." International Journal for Research Trends and Innovation 9, no. 1 (2024): 787–95. https://doi.org/10.5281/zenodo.10580719.

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The accurate forecasting of electric load in smart grid applications and the prediction of synthesizability for crystalline materials are crucial aspects in decision-making and the advancement of power systems and materials science. This study proposes an integrated framework that combines deep learning techniques with heuristic algorithms to address these challenges. A novel hybrid model is introduced for electric load forecasting, encompassing a data pre-processing and feature selection module based on the modified mutual information (MMI) technique. The training and forecasting module emplo

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Muhsen, Dhiaa Halboot, Haider Tarish Haider, Yaarob Al-Nidawi, and Tamer Khatib. "Optimal Home Energy Demand Management Based Multi-Criteria Decision Making Methods." Electronics 8, no. 5 (2019): 524. http://dx.doi.org/10.3390/electronics8050524.

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From the growth of residential energy demands has emerged new approaches for load scheduling to realize better energy consumption by shifting the required demand in response to cost changes or incentive offers. In this paper, a hybrid method is proposed to optimize the load scheduling problem for cost and energy saving. The method comprises a multi-objective optimization differential evolution (MODE) algorithm to obtain a set of optimal solutions by minimizing the cost and peak of a load simultaneously, as a multi-objective function. Next, an integration of the analytic hierarchy process (AHP)

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Liu, Xiaoyu, Zhenxian Chen, Yongchang Gao, Jing zhang, and Zhongmin Jin. "High Tibial Osteotomy: Review of Techniques and Biomechanics." Journal of Healthcare Engineering 2019 (May 2, 2019): 1–12. http://dx.doi.org/10.1155/2019/8363128.

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High tibial osteotomy becomes increasingly important in the treatment of cartilage damage or osteoarthritis of the medial compartment with concurrent varus deformity. HTO produces a postoperative valgus limb alignment with shifting the load-bearing axis of the lower limb laterally. However, maximizing procedural success and postoperative knee function still possess many difficulties. The key to improve the postoperative satisfaction and long-term survival is the understanding of the vital biomechanics of HTO in essence. This review article discussed the alignment principles, surgical technique

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Abuzairi, Tomy, and Ralfi Wibowo Rachmad. "Simple Simulation of Perturb and Observe MPPT Algorithm on Synchronous Buck Converter." Buletin Ilmiah Sarjana Teknik Elektro 5, no. 4 (2023): 448–54. https://doi.org/10.12928/biste.v5i4.9347.

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The efficiency of the PV system can be improved by operating the solar panel on its Maximum Power Point (MPP). However, ariations in irradiance and temperature will lead to the shifting of solar panel MPP. To continuously operate the solar panel near its MPP, a tracking algorithm is needed. In this research, a model consisting of a synchronous buck converter and a Maximum Power Point Tracking (MPPT) algorithm will be designed as aMATLAB/Simulink model. Perturb and Observe technique will be used to implement the algorithm into the synchronous buck converter, which will control a 10 W solar pane

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Li, Amy, Sihang Liu, and Yi Ding. "Uncertainty-Aware Decarbonization for Datacenters." ACM SIGEnergy Energy Informatics Review 4, no. 5 (2024): 141–47. https://doi.org/10.1145/3727200.3727221.

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This paper represents the first effort to quantify uncertainty in carbon intensity forecasting for datacenter decarbonization. We identify and analyze two types of uncertainty---temporal and spatial---and discuss their system implications. To address the temporal dynamics in quantifying uncertainty for carbon intensity forecasting, we introduce a conformal prediction-based framework. Evaluation results show that our technique robustly achieves target coverages in uncertainty quantification across various significance levels. We conduct two case studies using production power traces, focusing o

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Et. al., K. Girinath Babu,. "Single Input Single Output Two Level Isolated Dc-Dc Converter With Secondary Side Phase Shifting For Solar Applications." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (2021): 433–42. http://dx.doi.org/10.17762/itii.v9i2.367.

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The isolated dc–dc converters with primary-side phase shifting (PPS) provides severely narrow soft-switching range for main devices in the primary side leg of full bridge converter. The leakage inductance of the high frequency transformer should be large enough for providing the energy needed for soft switching operations and also the idling power loss due to circulating current in the converter legs under large phase-shift angle, which makes reduction of conversion efficiency and complicated in designing the parameters of transformer. Furthermore, the turn-off diode commutations in the output

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Ali, Ehab Salim. "Chaotic Sea-Horse Optimization Approach for TCSC Controller Design." WSEAS TRANSACTIONS ON ELECTRONICS 16 (April 28, 2025): 73–82. https://doi.org/10.37394/232017.2025.16.8.

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Using of Thyristor Controlled Series Capacitor (TCSC) as a Flexible AC Transmission System (FACTS) creates various interests for the customer of the network, and each adds to the growth of the power transmission potential of new and existing systems. These interests involve stability enhancement in the system, tunning of voltage, poise of imagine power, load sharing among shunt lines, and decrease in losses of the transmission system. This article introduces a new hybrid approach that evolved from integrating chaotic charts and the sea-horse optimizer. The suggested approach is known as the Ch

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Dilogo, Ismail Hadisoebroto, Oryza Satria, and Jessica Fiolin. "Internal fixation of S1-S3 iliosacral screws and pubic screw as the best configuration for unstable pelvic fracture with unilateral vertical sacral fracture (AO type C1.3)." Journal of Orthopaedic Surgery 25, no. 1 (2017): 230949901769098. http://dx.doi.org/10.1177/2309499017690985.

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Background: Although internal fixation is the definitive treatment in unstable pelvic fractures with disruption of the anterior arch and a vertical fracture of the sacrum (AO type C1.3), there have been no agreement of the best technique of internal fixation yet. We aimed to derive comparable objective data on stiffness and load to failure in this type of fracture fixations. Methods: Synbone was modified into AO type C1.3 fracture model, while treatments were divided into six internal fixation treatment groups using tension band plate (TBP), symphysis pubis plate (SP) with iliosacral screw at

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Gbadega, Peter Anuoluwapo, and Akshay Kumar Saha. "Predictive Control of Adaptive Micro-Grid Energy Management System Considering Electric Vehicles Integration." International Journal of Engineering Research in Africa 59 (March 15, 2022): 175–204. http://dx.doi.org/10.4028/p-42m5ip.

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This paper addresses the problems of control and energy management in micro-grid with the incorporation of renewable energy generation, hybrid storage technologies, and the integration of the electric vehicles (EVs) with vehicle to grid (V2G) technology. The adaptive model predictive control (AMPC) technique is used to optimize the charge/discharge of the EVs in a receding horizon manner in order to reduce operational cost in a renewable energy-based micro-grid. V2G systems integration can be a crucial element in the assurance of network reliability against variability in loads. In this contex

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Jasim, Ali M., Basil H. Jasim, Bogdan-Constantin Neagu, and Bilal Naji Alhasnawi. "Efficient Optimization Algorithm-Based Demand-Side Management Program for Smart Grid Residential Load." Axioms 12, no. 1 (2022): 33. http://dx.doi.org/10.3390/axioms12010033.

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Incorporating demand-side management (DSM) into residential energy guarantees dynamic electricity management in the residential domain by allowing consumers to make early-informed decisions about their energy consumption. As a result, power companies can reduce peak demanded power and adjust load patterns rather than having to build new production and transmission units. Consequently, reliability is enhanced, net operating costs are reduced, and carbon emissions are mitigated. DSM can be enhanced by incorporating a variety of optimization techniques to handle large-scale appliances with a wide

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