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Journal articles on the topic 'Multi source/multi load'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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1

Nath, Vivek, and D. K. Sambariya. "Application of Intelligent controller For Load Frequency Control for Multi-Area Multi-Source Power System." Indian Journal Of Science And Technology 16, no. 39 (2023): 3361–74. http://dx.doi.org/10.17485/ijst/v16i39.1769.

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2

Zhong, Ming, Lu Jin, Jiyu Xia, Ling Cheng, Peiyu Chen, and Rong Zeng. "Coordinated control of coastal multi-source multi-load system with desalination load: a review." Global Energy Interconnection 2, no. 4 (2019): 300–309. http://dx.doi.org/10.1016/j.gloei.2019.11.002.

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3

Huang, Zhengwei, Lu Liu, and Jiachang Liu. "Multi-Time-Scale Coordinated Optimum Scheduling Technique for a Multi-Source Complementary Power-Generating System with Uncertainty in the Source-Load." Energies 16, no. 7 (2023): 3020. http://dx.doi.org/10.3390/en16073020.

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An optimal dispatching strategy for a multi-source complementary power generation system taking source–load uncertainty into account is proposed, in order to address the effects of large-scale intermittent renewable energy consumption and power load instability on power grid dispatching. The uncertainty problem is first converted into common situations for study, such as load power forecasting and solar and wind power. The backward scenario reduction and Latin hypercube sampling techniques are used to create these common situations. Based on this, a multi-timescale coordinated optimum scheduli

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4

Rämmal, Hans, and Hans Bodén. "Modified multi-load method for nonlinear source characterisation." Journal of Sound and Vibration 299, no. 4-5 (2007): 1094–113. http://dx.doi.org/10.1016/j.jsv.2006.08.013.

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5

Ning, Jia, Sipeng Hao, Aidong Zeng, Bin Chen, and Yi Tang. "Research on Multi-Timescale Coordinated Method for Source-Grid-Load with Uncertain Renewable Energy Considering Demand Response." Sustainability 13, no. 6 (2021): 3400. http://dx.doi.org/10.3390/su13063400.

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The high penetration of renewable energy brings great challenges to power system operation and scheduling. In this paper, a multi-timescale coordinated method for source-grid-load is proposed. First, the multi-timescale characteristics of wind forecasting power and demand response (DR) resources are described, and the coordinated framework of source-grid-load is presented under multi-timescale. Next, economic scheduling models of source-grid-load based on multi-timescale DR under network constraints are established in the process of day-ahead scheduling, intraday scheduling, and real-time sche

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6

Ma, Lin Lin, Jie Wen, Cheng Wang, and Long Lei Dong. "A Uncorrelated Multi-Sources Dynamic Random Load Identification Algorithm Based on Least-Squares in Frequency." Applied Mechanics and Materials 220-223 (November 2012): 2240–43. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2240.

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Because frequency dynamic load identification method will confront with the illness problem of finding the verse of coefficient matrix, a new multi-source load identification algorithm based on least-squares in frequency is proposed. Based on the assumptions of linear time-invariant system and uncorrelated of each load, this new algorithm combines transfer functions, least-squares of generalized matrix inverse in frequency. According to response signals of multi-spots, it can identify multi-sources dynamic random loads in frequency domain at the same time. Formula derivation, application scope

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Arora, Krishan, Ashok Kumar, Vikram Kumar Kamboj, Deepak Prashar, Bhanu Shrestha, and Gyanendra Prasad Joshi. "Impact of Renewable Energy Sources into Multi Area Multi-Source Load Frequency Control of Interrelated Power System." Mathematics 9, no. 2 (2021): 186. http://dx.doi.org/10.3390/math9020186.

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There is an increasing concentration in the influences of nonconventional power sources on power system process and management, as the application of these sources upsurges worldwide. Renewable energy technologies are one of the best technologies for generating electrical power with zero fuel cost, a clean environment, and are available almost throughout the year. Some of the widespread renewable energy sources are tidal energy, geothermal energy, wind energy, and solar energy. Among many renewable energy sources, wind and solar energy sources are more popular because they are easy to install

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8

Wang, Dan, Jiancheng Yu, Bo Liu, Chao Long, Peiyu Chen, and Zhiqiang Chong. "Integrated energy efficiency evaluation of a multi-source multi-load desalination micro-energy network." Global Energy Interconnection 3, no. 2 (2020): 128–39. http://dx.doi.org/10.1016/j.gloei.2020.05.005.

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9

Su, Yongxin, Qiyao He, Jie Chen, and Mao Tan. "A residential load forecasting method for multi-attribute adversarial learning considering multi-source uncertainties." International Journal of Electrical Power & Energy Systems 154 (December 2023): 109421. http://dx.doi.org/10.1016/j.ijepes.2023.109421.

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10

Toto Pratomo, Leonardus Adityo, and Deni Mahdiana. "Extract, Transform, Load Monitoring sales Multi Marketplace." Jurnal Teknologi Informasi dan Pendidikan 16, no. 1 (2023): 174–88. http://dx.doi.org/10.24036/jtip.v16i1.721.

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This research is made in the design of a database system and online sales files for sales on a medium business scale, Era 5.0 Society many marketplaces make it easy for medium businesses to sell products, So business actors need to see the development of digital business and forecast their merchandise that is sold out online. As for the implementation of 1) database from RDBMS into MYSQL. The research uses an open source database, namely MYSQL, 2) The research method uses Microsoft Access program tools with the link to the Windows 10 operating system odbc in Extract Transform Load (ETL) which

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11

Khamari, Dillip, Rabindra Kumar Sahu, and Sidhartha Panda. "Application of Search Group Algorithm for Automatic Generation Control of Multi-area Multi-source Power Systems." E3S Web of Conferences 87 (2019): 01005. http://dx.doi.org/10.1051/e3sconf/20198701005.

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This paper proposes a new Search Group Algorithm based PID controller, to deal with Automatic Generation Control of two-area with six unit power system. The supremacy of SGA tuned PID controller is being shown using the comparative study with Firefly Algorithm (FA) optimization method for the same test system using ITAE as an objective function. It has been demonstrated that SGA tuned PID controller improves the performance in a large compared with FA tuned PID controller. Furthermore variation in nominal values of operating load condition and system parameters with the position of step load p

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12

Xu, Jian, Yunyan Chang, and Xiaoming Sun. "Multi-source and Multi-level Coordination of Energy Internet under V2G based on Particle Swarm Optimization Algorithm." Scalable Computing: Practice and Experience 25, no. 2 (2024): 857–66. http://dx.doi.org/10.12694/scpe.v25i2.2509.

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In order to effectively improve the excessive load of microgrid during peak hours of urban electricity consumption, a multi-source and multi-level coordination method of energy Internet under V2G based on particle swarm optimization algorithm was proposed. First, a mathematical model for V2G energy integration in microgrids was developed and a scheduling concept based on a particle-by-particle optimization algorithm was used. Second, an improved PSO algorithm is proposed and experimentally validated, and the experimental results are compared with previous particle swarm optimization algorithms

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13

Sudheer, Kasa, and Ramasamy Sudha. "Enhancement of Power Quality in Multi Feeder Three Phase System with Photovoltaic fed ANFIS-Unified Multi Converter Controller." MATEC Web of Conferences 225 (2018): 03015. http://dx.doi.org/10.1051/matecconf/201822503015.

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Substantial growth in modern innovations demands more power from utility. To cope with drastic power demand on grid renewable sources have been integrated. This makes more complex power system as these integrated sources more dynamic in nature. Intelligent usage of renewable sources leads to optimal and reliable power structure. This paper provides an optimal usage of renewable source for unified controlling action to compensate power quality issues on multi distribution feeders. Proposed Unified Multi Converter Controller (UMCC) effectively alleviates power quality issues like harmonics, impe

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14

Arora, Monika. "Load Frequency Control of Multi-Area Multi-Source Power System using Teaching Learning Optimization Technique." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (2019): 494–594. http://dx.doi.org/10.22214/ijraset.2019.3088.

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15

Lou, Ping, Genqiang Shen, Yaojie Hu, and Ying Yao. "Multi-Source Energy Storage Stations Control Strategy Considering Implicit Linearization of The Power Flow Manifold." Journal of Physics: Conference Series 2584, no. 1 (2023): 012055. http://dx.doi.org/10.1088/1742-6596/2584/1/012055.

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Abstract With the development of distributed new energy and multi-type loads, in order to realize the effective management of distributed power sources by multi-microgrids and better play the supporting role of microgrids on distributed power sources, we consider the dynamic changes of power flow in the distribution network caused by the power interaction between multi-microgrids and shared energy storage and propose an optimal dispatching strategy of multi-microgrids considering multi-source synergy considering the constraints of power flow. Since the constraint of the distribution network is

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16

Vishnuram, Pradeep, Suchitra Dayalan, Sudhakar Babu Thanikanti, Karthik Balasubramanian, and Benedetto Nastasi. "Single Source Multi-Frequency AC-AC Converter for Induction Cooking Applications." Energies 14, no. 16 (2021): 4799. http://dx.doi.org/10.3390/en14164799.

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In recent years, induction heating (IH) applications aided by electronic power control have gained significance. Particularly, for cooking applications, an appropriate control technique is required to feed power from a single source to multiple loads with minimum switching losses. Additionally, when multiple loads are used, it requires independent control and operation for each of the loads. The main idea of this work is to develop a single-stage AC-AC converter topology to feed power to multiple loads independently with a single source, with a reduced number of switching devices and with mini

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17

Lai, Zhenhao, Zongxi Tang, Xiaowu Zhan, Xin Cao, Yunqiu Wu, and Biao Zhang. "Compact multi-band transversal bandpass filters with source–load coupling." Journal of Electromagnetic Waves and Applications 28, no. 2 (2013): 184–93. http://dx.doi.org/10.1080/09205071.2013.860362.

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18

Zhang, Liuliu, Minyi He, Wei Xie, Zhen He, and Zhijun Tan. "Research and Realization of Hierarchical Information Interaction in Multi-load Regulation System." Journal of Physics: Conference Series 2433, no. 1 (2023): 012012. http://dx.doi.org/10.1088/1742-6596/2433/1/012012.

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Abstract In the context of advancing the integration of power source network load storage and multi-energy complementary development, it is necessary to optimize the integration of power source, grid side, and load side resources to build a new power system with a high degree of integration of source network load and storage. The article analyzes the adjustable load distribution. In the scenario of multi-layer collaborative control, access methods are divided around load resource types and response characteristics, and an information interaction technology oriented to multiple load adjustments

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19

Wang, Ling Xiu, and Ye Wen Cao. "Ant Colony-Based Load Balancing Algorithm for Multi-Source Multicast Networks." Advanced Materials Research 204-210 (February 2011): 1399–402. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1399.

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IP multicast protocols tend to construct a single minimum spanning tree for a multicast source (i.e., group), in which only a few internal nodes supply multicast traffic. In multicast networks especially with multiple multicast sources where bottleneck effects may occur frequently, frequently used multicast service leads to inefficient network utilization problems. This paper presents a new network utilization algorithm for multicasting called load distribution algorithm (LDA). The LDA algorithm uses selecting candidate path based on ant colony algorithm and multicast scheduling to distribute

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20

Ayyappan, Dr B. Prakash, Parthiban T, and Barkavi M. "Generation Control of Multi-Area Multi-Source Power System using Fire-Fly Algorithm." International Journal of Innovative Research in Advanced Engineering 11, no. 05 (2024): 573–80. http://dx.doi.org/10.26562/ijirae.2024.v1105.20.

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This article presents automatic generation control (AGC) of an interconnected three area power system having different production sources such as hydropower, thermal and gas power plants. The control areas are provided with single reheat turbine and generation rate constraints of 3%/min. An attempt has been made to apply a Proportional derivative–Proportional integral derivative (PD–PID) cascade controller in AGC. Controller gains are optimized simultaneously using more robust and powerful evolutionary computational technique Firefly Algorithm (FFA). Performance of classical controllers such a

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21

Liang, Haiping, Xin Xie, Meng Liu, Shengsuo Niu, and Haifeng Su. "Research on Strategies for Air-Source Heat Pump Load Aggregation to Participate in Multi-Scenario Demand Response." Energies 17, no. 11 (2024): 2471. http://dx.doi.org/10.3390/en17112471.

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Air-source heat pumps (ASHPs), functioning as thermally controlled loads, possess significant adjustable capabilities and controllability when aggregated, establishing them as premium resources for demand-response engagement. This paper proposes a control strategy for the aggregation of ASHP loads to participate in demand response across multiple scenarios, framed within a three-tier architecture: electric power system, Load Aggregator (LA), and thermal load. Load Aggregators, considering the user-comfort temperature ranges and the thermal storage characteristics of buildings, aim to minimize

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22

AL-ZUBAIDI, Anas Mahdi, and Galip CANSEVER. "A MODIFIED SALP SWARM OPTIMIZATION ALGORITHM BASED ON THE LOAD FREQUENCY CONTROL OF MULTIPLE-SOURCE POWER SYSTEM." AURUM Journal of Engineering Systems and Architecture 7, no. 1 (2023): 73–84. http://dx.doi.org/10.53600/ajesa.1321186.

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This work proposes a modified Salp Swarm Optimization Algorithm (SSA) for addressing a multi-source power state's Load Frequency Control (LFC). A controller parameter tuning of the SSA method and its application to the LFC of a multi-source power system with several power generating sources. Derive to the controller parameters, a single area telecommunications device that permits two power system with integrated controlles according to each unit is considered first, and the SSA approach is used. The tunned SSA algorithm is used to optimize the integral (I), proportional integral (PI), and prop

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23

Li, Jie, Chongyang Han, Weibin Wu, et al. "Load Spectrum Compilation Method of Hybrid Electric Vehicle Reducers Based on Multi-Criteria Decision Making." Energies 15, no. 9 (2022): 3293. http://dx.doi.org/10.3390/en15093293.

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This article proposes a method for compiling the load spectra of reducers for hybrid electric vehicles. Selecting typical working conditions for real vehicle data collection, the load data under each typical working condition were divided into five categories according to the state of the power source and the data were preprocessed. The optimal sample loads for compiling load spectra were obtained based on a multi-criteria decision-making method, rainflow counting for optimal sample loads was performed according to different power source output patterns, non-parametric extrapolation was perfor

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24

Aslam, Muhammad Anique, Syed Abdul Rahman Kashif, Muhammad Majid Gulzar, Mohammed Alqahtani, and Muhammad Khalid. "A Novel Multi Level Dynamic Decomposition Based Coordinated Control of Electric Vehicles in Multimicrogrids." Sustainability 15, no. 16 (2023): 12648. http://dx.doi.org/10.3390/su151612648.

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This paper presents a novel tetra-level dynamic decomposition-based control approach for coordinated operation of electric vehicles in multimicrogrids, which is comprehensive, generic, modular, and secure in nature, to maximize the utilization of renewable energy sources, while meeting the load demands with the resources available. There are a number of microgrids that are connected to the grid. Each microgrid consists of a number of renewable energy sources, energy storage systems, non-renewable energy sources, electric vehicles, and loads. Each distributed energy source or load is controlled

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25

Baimetova, E. S. "Hydrodynamic load on a multi-section heat exchanger." Diagnostics, Resource and Mechanics of materials and structures, no. 4 (August 2023): 6–14. http://dx.doi.org/10.17804/2410-9908.2023.4.006-014.

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The article considers the issues of numerical modeling of a multi-section heat exchanger using the tools of the OpenFOAM open source package. The multi-section heat exchanger is operated at velocities ranging between 0.1 and 2 m/s. Numerical simulation is carried out for a complete assembly of 8 sections. Each section contains six transverse microchannels with internal fins to increase heat transfer. Hydraulic oil with a kinematic viscosity of 0.000032 m2/s is used as the working fluid. As a result of numerical simulation, the hydrodynamic characteristics at the entrance to the microchannels w

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26

Qu, Zhengwei, Waqar Younis, Yunjing Wang, and Popov Maxim Georgievitch. "A Multi-Source Power System’s Load Frequency Control Utilizing Particle Swarm Optimization." Energies 17, no. 2 (2024): 517. http://dx.doi.org/10.3390/en17020517.

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Electrical power networks consist of numerous energy control zones connected by tie-lines, with the addition of nonconventional sources resulting in considerable variations in tie-line power and frequency. Under these circumstances, a load frequency control (LFC) loop gives constancy and security to interconnected power systems (IPSs) by supplying all consumers with high-quality power at a nominal frequency and tie-line power change. This article proposes employing a proportional–integral–derivative (PID) controller to effectively control the frequency in a one-area multi-source power network

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27

Irfan Mushtaq, Muhammad, Asif Siddiq, Muhammad Owais Tariq, Akbar Ali, and Anum Zahra. "Economically Effective and Intelligently Responsive Home Energy Management System." July 2019 38, no. 3 (2019): 581–98. http://dx.doi.org/10.22581/muet1982.1903.06.

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Energy management in home is one of the major issue now-a-days. There are different types of load like shiftable, non-shiftable, seasonal loads and auxiliary loads. In this research article, an energy management system is proposed for home which helps to schedule different loads on the basis of their types and price. It will help to minimize the cost of electricity by shifting load from peak time to off peak time. Emission will be minimized by charging penalty by adopting multi-objective optimization. Each source of energy has its own price of penalty with respect to time. Penalty is charged t

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28

Zhuang, Zhiyuan, Xidong Zheng, Zixing Chen, Tao Jin, and Zengqin Li. "Load Forecast of Electric Vehicle Charging Station Considering Multi-Source Information and User Decision Modification." Energies 15, no. 19 (2022): 7021. http://dx.doi.org/10.3390/en15197021.

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In view of the current multi-source information scenario, this paper proposes a decision-making method for electric vehicle charging stations (EVCSs) based on prospect theory, which considers payment cost, time cost, and route factors, and is used for electric vehicle (EV) owners to make decisions when the vehicle’s electricity is low. Combined with the multi-source information architecture composed of an information layer, algorithm layer, and model layer, the load of EVCSs in the region is forecast. In this paper, the Monte Carlo method is used to test the IEEE-30 model and the traffic netwo

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29

Rwegasira, Diana Severine, Imed Saad Ben Dhaou, Aron Kondoro, et al. "A Demand-Response Scheme Using Multi-Agent System for Smart DC Microgrid." International Journal of Embedded and Real-Time Communication Systems 10, no. 1 (2019): 48–68. http://dx.doi.org/10.4018/ijertcs.2019010103.

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This article describes a framework for load shedding techniques using dynamic pricing and multi-agent system. The islanded microgrid uses solar panels and battery energy management system as a source of energy to serve remote communities who have no access to the grid with a randomized type of power in terms of individual load. The generated framework includes modeling of solar panels, battery storage and loads to optimize the energy usage and reduce the electricity bills. In this work, the loads are classified as critical and non-critical. The agents are designed in a decentralized manner, wh

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30

Boddepalli, Manmadha Kumar, and Prema Kumar Navuri. "Analysis of tilt integral derivative controller-based automatic load frequency control of multi-area multi-source system." International Journal of Power Electronics 15, no. 3/4 (2022): 418. http://dx.doi.org/10.1504/ijpelec.2022.10046473.

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31

Boddepalli, Manmadha Kumar, and Prema Kumar Navuri. "Analysis of tilt integral derivative controller-based automatic load frequency control of multi-area multi-source system." International Journal of Power Electronics 15, no. 3/4 (2022): 418. http://dx.doi.org/10.1504/ijpelec.2022.122421.

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32

Vijaya Chandrakala, K. R. M., S. Balamurugan, and K. Sankaranarayanan. "Variable structure fuzzy gain scheduling based load frequency controller for multi source multi area hydro thermal system." International Journal of Electrical Power & Energy Systems 53 (December 2013): 375–81. http://dx.doi.org/10.1016/j.ijepes.2013.05.009.

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33

Gupta, Deepak Kumar, Amitkumar V. Jha, Bhargav Appasani, Avireni Srinivasulu, Nicu Bizon, and Phatiphat Thounthong. "Load Frequency Control Using Hybrid Intelligent Optimization Technique for Multi-Source Power Systems." Energies 14, no. 6 (2021): 1581. http://dx.doi.org/10.3390/en14061581.

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The automatic load frequency control for multi-area power systems has been a challenging task for power system engineers. The complexity of this task further increases with the incorporation of multiple sources of power generation. For multi-source power system, this paper presents a new heuristic-based hybrid optimization technique to achieve the objective of automatic load frequency control. In particular, the proposed optimization technique regulates the frequency deviation and the tie-line power in multi-source power system. The proposed optimization technique uses the main features of thr

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34

Emmi, Giuseppe, Marco Cavazzuti, and Michele Bottarelli. "A Management Strategy for Multi-Source Heat Pump Systems." International Journal of Heat and Technology 40, no. 4 (2022): 879–87. http://dx.doi.org/10.18280/ijht.400403.

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The recent H2020 IDEAS project is oriented to the study of multi-source heat pump systems by investigating their behavior through dynamic simulations and on-field experiments in real small and large-scale prototypes respectively. One of the main aims of the project is the exploitation of available free energy sources, solar, air and ground using the heat pump technology. The key point in the investigated multi-source heat pump system is the optimal management of the renewable sources and the keeping of the ground storage available also in case of undersize of it and in case of buildings with u

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35

Gao, Yang, Siyue Lu, Longfei Ma, et al. "A Multi-timescale Scheduling Strategy for Residential Integrated Energy System." Journal of Physics: Conference Series 2636, no. 1 (2023): 012010. http://dx.doi.org/10.1088/1742-6596/2636/1/012010.

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Abstract In recent years, multi-energy complementation has been deepening, and the application rate of new energy sources has been increasing. A multi-timescale optimal scheduling strategy is proposed to mobilize the energy flexibility of residential integrated energy systems (RIES) and to reduce the negative impact of source-load forecast uncertainty on the scheduling plan. Firstly, for the energy supply structure of RIES, the operation constraint model of each energy hub equipment is established. Then, the optimal scheduling is divided into three stages: day-ahead planning, intra-day plannin

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36

Alzahrani, Ahmad, Ghulam Hafeez, Sajjad Ali, et al. "Multi-Objective Energy Optimization with Load and Distributed Energy Source Scheduling in the Smart Power Grid." Sustainability 15, no. 13 (2023): 9970. http://dx.doi.org/10.3390/su15139970.

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Multi-objective energy optimization is indispensable for energy balancing and reliable operation of smart power grid (SPG). Nonetheless, multi-objective optimization is challenging due to uncertainty and multi-conflicting parameters at both the generation and demand sides. Thus, opting for a model that can solve load and distributed energy source scheduling problems is necessary. This work presents a model for operation cost and pollution emission optimization with renewable generation in the SPG. Solar photovoltaic and wind are renewable energy which have a fluctuating and uncertain nature. T

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Han, Shuai, Leping Sun, Xiaoxuan Guo, and Jianbin Lu. "Multi-objective Interval Optimization of Virtual Power Plant Considering the Uncertainty of Source and Load." E3S Web of Conferences 299 (2021): 01011. http://dx.doi.org/10.1051/e3sconf/202129901011.

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As the proportion of electric vehicles and distributed power sources connected to the power grid continues to increase, virtual power plants provide new ideas for effectively solving electric vehicles and distributed power sources connected to the grid. Considering that there are obvious uncertainties in the number of dispatchable electric vehicles and the output of distributed power sources, this paper focuses on the multi-objective interval optimization problem of virtual power plants considering the uncertainty of source load. Based on the analysis of the virtual power plant architecture, a

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38

Afaneh, Tayma, Omar Mohamed, and Wejdan Abu Elhaija. "Load Frequency Model Predictive Control of a Large-Scale Multi-Source Power System." Energies 15, no. 23 (2022): 9210. http://dx.doi.org/10.3390/en15239210.

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With increased interests in affordable energy resources, a cleaner environment, and sustainability, more objectives and operational obligations have been introduced to recent power plant control systems. This paper presents a verified load frequency model predictive control (MPC) that aims to satisfy the load demand of three practical generation technologies, which are wind energy systems, clean coal supercritical (SC) power plants, and dual-fuel gas turbines (GTs). Simplified state-space models for the two thermal units were constructed by concepts of subspace identification, whereas the indi

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39

Bodén, H. "On multi-load methods for determination of the source data of acoustic one-port sources." Journal of Sound and Vibration 180, no. 5 (1995): 725–43. http://dx.doi.org/10.1006/jsvi.1995.0111.

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40

Zhao, Yongqi, and Jiajia Chen. "A Quantitative Risk-Averse Model for Optimal Management of Multi-Source Standalone Microgrid with Demand Response and Pumped Hydro Storage." Energies 14, no. 9 (2021): 2692. http://dx.doi.org/10.3390/en14092692.

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High renewable energy integrated standalone microgrid requires greater ramping capabilities from other dispatchable resources to compensate for effects of the intermittent and variability of the renewable energy available in the system. To address this, a wind-solar-thermal-hydro-coupled multi-source standalone microgrid (WSTHcMSSM) considering demand response and pumped hydro storage is proposed to maximize the operating profit and get the optimal solution of the multi-source generation system by taking advantage of multi-resource complementarity. In WSTHcMSSM, we present a conditional value-

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Yu, Jinying, Yuchen Gao, Yuxin Wu, Dian Jiao, Chang Su, and Xin Wu. "Non-Intrusive Load Disaggregation by Linear Classifier Group Considering Multi-Feature Integration." Applied Sciences 9, no. 17 (2019): 3558. http://dx.doi.org/10.3390/app9173558.

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Non-intrusive load monitoring (NILM) is a core technology for demand response (DR) and energy conservation services. Traditional NILM methods are rarely combined with practical applications, and most studies aim to disaggregate the whole loads in a household, which leads to low identification accuracy. In this method, the event detection method is used to obtain the switching event sets of all loads, and the power consumption curves of independent unknown electrical appliances in a period are disaggregated by utilizing comprehensive features. A linear discriminant classifier group based on mul

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42

D’Este, Marina, Mario Elia, Vincenzo Giannico, Giuseppina Spano, Raffaele Lafortezza, and Giovanni Sanesi. "Machine Learning Techniques for Fine Dead Fuel Load Estimation Using Multi-Source Remote Sensing Data." Remote Sensing 13, no. 9 (2021): 1658. http://dx.doi.org/10.3390/rs13091658.

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Fine dead fuel load is one of the most significant components of wildfires without which ignition would fail. Several studies have previously investigated 1-h fuel load using standard fuel parameters or site-specific fuel parameters estimated ad hoc for the landscape. On the one hand, these methods have a large margin of error, while on the other their production times and costs are high. In response to this gap, a set of models was developed combining multi-source remote sensing data, field data and machine learning techniques to quantitatively estimate fine dead fuel load and understand its

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Tang, Jian, Junfei Qiao, Zhuo Liu, Ning Sheng, Wen Yu, and Gang Yu. "Dual-layer optimized selective information fusion using multi-source multi-component mechanical signals for mill load parameters forecasting." Mechanical Systems and Signal Processing 135 (January 2020): 106371. http://dx.doi.org/10.1016/j.ymssp.2019.106371.

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Chandrakala, Vijaya, Balamurugan Sukumar, and Krishnamoorthy Sankaranarayanan. "Load Frequency Control of Multi-source Multi-area Hydro Thermal System Using Flexible Alternating Current Transmission System Devices." Electric Power Components and Systems 42, no. 9 (2014): 927–34. http://dx.doi.org/10.1080/15325008.2014.903540.

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Tavakoli, Mehdi, Edris Pouresmaeil, Jafar Adabi, Radu Godina, and João P. S. Catalão. "Load-frequency control in a multi-source power system connected to wind farms through multi terminal HVDC systems." Computers & Operations Research 96 (August 2018): 305–15. http://dx.doi.org/10.1016/j.cor.2018.03.002.

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Zhang, Junqin, Yongyao Nian, and Haili Wang. "EnSysta: A novel architecture of multi-source energy harvesting system." Journal of Physics: Conference Series 2666, no. 1 (2023): 012025. http://dx.doi.org/10.1088/1742-6596/2666/1/012025.

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Abstract Passive sensing and computing system derived from the combination of environmental capacitive technology and sensing technology, such system obtains energy from the environment for sensing, computing, and wireless communication, has the advantages of energy self-supply, autonomous operation, long-term independent maintenance-free operation, and are the future development trends of Internet of Things technology. But at present, the passive system obtains energy from a single source and the conversion efficiency is low. At present, there are no low-power devices and hardware architectur

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Islam, Shekh Md Mahmudul, Mohammad Anisur Rahman Reza, and Md Adnan Kiber. "Performances of Multi-Frequency Voltage to Current Converters for Bioimpedance Spectroscopy." Bangladesh Journal of Medical Physics 5, no. 1 (2013): 71–76. http://dx.doi.org/10.3329/bjmp.v5i1.14671.

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Breast cancer is one of the most common diseases affecting women and the mortality rate is very high in Bangladesh, mainly due to the lack of early diagnosis. X-ray mammography is not available widely in Bangladesh, besides it has an associated biological hazard. Multi-frequency bio-impedance measurement or bio-impedance spectroscopy has a great potential in many biomedical applications including breast cancer screening which involves tissue characterization. In Bio-impedance spectroscopy a range of frequencies of low level current is injected to the human body and corresponding bio-impedance

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Qiu, Shi, Kun Zhang, Zhuo Chen, Yiling Ma, and Zhe Chen. "A Dynamic Partition Model for Multi-Energy Power Grid Energy Balance Considering Electric Vehicle Response Willingness." Processes 11, no. 5 (2023): 1508. http://dx.doi.org/10.3390/pr11051508.

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In multi-energy power grids in which electric vehicles (EVs) participate in response, there are significant differences in the power balance between multi-energy supply and load at different time scales and spatial scales. To optimize the energy balance demand of each region, this paper proposes a dynamic partition coordination model for power grid energy regulation demand that considers the willingness of electric vehicles to respond and the uncertainties related to sources, loads, and storage. Firstly, the charging and discharging characteristics of multi-energy conversion devices in power g

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Liu, Qian, Jingtao Wang, and Yuanbo Zhang. "Source Load Forecasting of Customer-side Multi-energy System Based Feature Engineering." IOP Conference Series: Earth and Environmental Science 632 (January 14, 2021): 042078. http://dx.doi.org/10.1088/1755-1315/632/4/042078.

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李, 宛齐. "Multi-Objective Optimization Method for Source-Load Coordination Dispatch Considering Demand Response." Smart Grid 09, no. 06 (2019): 244–52. http://dx.doi.org/10.12677/sg.2019.96027.

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