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Journal articles on the topic 'Load demand management'

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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1

Perez-Mora, Nicolas, Victor Martinez-Moll, and Vincent Canals. "DHC Load Management Using Demand Forecast." Energy Procedia 91 (June 2016): 557–66. http://dx.doi.org/10.1016/j.egypro.2016.06.198.

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2

Dey, Bishwajit, Soham Dutta, and Fausto Pedro Garcia Marquez. "Intelligent Demand Side Management for Exhaustive Techno-Economic Analysis of Microgrid System." Sustainability 15, no. 3 (2023): 1795. http://dx.doi.org/10.3390/su15031795.

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In a typical microgrid (MG) structure, the requisite of load varies from hour to hour. On the basis of the rise and fall of the load demand curve, the power system utilities fix the rate of electric power at different times of the day. This process is known as time-of-usage (TOU)-based pricing of electricity. The hourly basis load demand can be categorized into elastic hourly load demand and inelastic hourly load demand. For the duration of the peak hours, when the utility charges more, the elastic loads are shifted to low demand hours by the demand side management (DSM) to save the cost. This

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3

Elghitani, Fadi, and Ehab El-Saadany. "Smoothing Net Load Demand Variations Using Residential Demand Management." IEEE Transactions on Industrial Informatics 15, no. 1 (2019): 390–98. http://dx.doi.org/10.1109/tii.2018.2852482.

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Tabassum, Zahira, Akash D, Bavaji J, Desha R, and Anil Kumar. "Residential Load Management System using IoT." Journal of University of Shanghai for Science and Technology 23, no. 07 (2021): 1225–31. http://dx.doi.org/10.51201/jusst/21/07291.

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In the recent years the technological growth is observed at a higher pace and as the technology evolves the dependency of human on technology also increases and as the result the number of appliances or devices per household increases. The increase in the number of appliances in a household contribute a major share in increasing the demand for electricity during the peak hours at a residential level. The conventional method of meeting the demand by generating power or setting up of new generating plants is one of non-feasible method and it impacts the many factors such as cost, pollution, loss

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Djokic, Sasa Z., and Igor Papic. "Smart Grid Implementation of Demand Side Management and Micro-Generation." International Journal of Energy Optimization and Engineering 1, no. 2 (2012): 1–19. http://dx.doi.org/10.4018/ijeoe.2012040101.

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This paper analyses the influence and effects of demand side management (DSM) and micro-generation (MG) on the operation of future “smart grids.” Using the residential load sector with PV and wind-based MG as an example, the paper introduces a general methodology allowing to identify demand-manageable portion of the load in the aggregate demand, as well as to fully correlate variable power outputs of MG with the changes in load demands, including specific DSM actions and schemes. The presented analysis is illustrated using a detailed model of a typical UK LV/MV residential network.

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Hijaz Paul, Ward Ul, Anwar Shahzad Siddiqui, and Sheeraz Kirmani. "Intelligent Load Management System Development with Renewable Energy for Demand Side Management." International Journal of Advanced Engineering and Management Research 08, no. 02 (2023): 140–53. http://dx.doi.org/10.51505/ijaemr.2023.8213.

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Electric smart grid reliability and stability could be increased by the application of demand response initiatives and renewable energy resources. This study provides a brand new demand side management paradigm for smart grids with renewable energy integration that is based on intelligent optimisation. The suggested system combines real-time demand response programmes from electric utility companies and makes use of fuzzy logic to forecast consumer energy consumption patterns. Using demand response programmes, a smart energy management controller adjusts consumer energy usage forecasts to prod

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Priolkar, Jayesh, and ES Sreeraj. "Optimal scheduling and demand response implementation for home energy management." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 2 (2024): 1352. http://dx.doi.org/10.11591/ijece.v14i2.pp1352-1368.

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The optimal scheduling of the loads based on dynamic tariffs and implementation of a direct load control (DLC) based demand response program for the domestic consumer is proposed in this work. The load scheduling is carried out using binary particle swarm optimization and a newly prefaced nature-inspired discrete elephant herd optimization technique, and their effectiveness in minimization of cost and the peak-to-average ratio is analyzed. The discrete elephant herd optimization algorithm has acceptable characteristics compared to the conventional algorithms and has determined better exploring

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Priolkar, Jayesh, and ES Sreeraj. "Optimal scheduling and demand response implementation for home energy management." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 2 (2024): 1352–68. https://doi.org/10.11591/ijece.v14i2.pp1352-1368.

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The optimal scheduling of the loads based on dynamic tariffs and implementation of a direct load control (DLC) based demand response program for the domestic consumer is proposed in this work. The load scheduling is carried out using binary particle swarm optimization and a newly prefaced nature-inspired discrete elephant herd optimization technique, and their effectiveness in minimization of cost and the peak-toaverage ratio is analyzed. The discrete elephant herd optimization algorithm has acceptable characteristics compared to the conventional algorithms and has determined better exploring

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9

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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10

Kumar, D. Sai. "Demand Side Management Techniques for Peak Reduction." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 2911–13. http://dx.doi.org/10.22214/ijraset.2021.36979.

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Industrial growth is the back bone for the development of any nation. Industries are mainly dependent on electrical energy. But from the various studies, the sources for electrical energy are decreasing gradually, and in turn, the gap is increasing between the supplier and the load. The solution for this scenario is optimal utilization of resources. To overcome this problem , the concept Demand Side Management (DSM) has emerged in Power System Planning and Management. The principle objective of DSM is mutual understanding between the supplier and the consumer for maximizing benefits and minimi

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11

Mohamed, Afua, and Mohamed Tariq Khan. "A review of electrical energy management techniques: supply and consumer side (industries)." Journal of Energy in Southern Africa 20, no. 3 (2009): 14–21. http://dx.doi.org/10.17159/2413-3051/2009/v20i3a3304.

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A review of electrical energy management tech-niques on the supply side and demand side is pre-sented. The paper suggests that direct load control, interruptible load control, and time of use (TOU) are the main load management techniques used on the supply side (SS). The supply side authorities normally design these techniques and implement them on demand side consumers. Load manage-ment (LM) initiated on the demand side leads to valley filling and peak clipping. Power factor correc-tion (PFC) techniques have also been analysed and presented. It has been observed that many power utilities, esp

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Nirmala Jegadeesan, Nirmala Jegadeesan, G. Balasubramanian Nirmala Jegadeesan, N. Hemavathi G. Balasubramanian, and Yu-Chi Chen N. Hemavathi. "Empirical Validation of Fuzzy Logic Based Predictive Load Scheduling in Mimic Home Energy Management System." 網際網路技術學刊 24, no. 7 (2023): 1429–36. http://dx.doi.org/10.53106/160792642023122407004.

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<p>Load scheduling plays a vital role in the home energy management systems. The main objective of this load scheduling is to balance the power demand and supply power without degrading the performance of the loads and consumers tolerance. Though many research works concentrate on load scheduling, very few works concentrated on real time scenario. On the other hand, research work concentrated on optimal load scheduling through fuzzy logic requires incorporation of fuzzy based system in either simulated or real-time home energy management system. Hence, the proposal aims to schedule the l

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13

Raushan Kumar. "Power system load frequency management using fuzzy logic." Journal of Electrical Systems 20, no. 7s (2024): 2478–82. http://dx.doi.org/10.52783/jes.4055.

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A power system is a sizable, intricately linked network that has multiple sources and loads. The population growth causes variations and unpredictability in load demand. The utilities are responsible for meeting load demand while abiding by operational restrictions on the power system. Control of load frequency is alone in charge of providing the customers with sustainable electrical power. Its primary purpose is to control system frequency and power flow in additional areas within advised bounds by controlling tie-line power and the utility generator's output power in reaction to changes in l

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V., Manoj Kumar, Bharatiraja Chokkalingam, and Devakirubakaran S. "Demand side management using optimization strategies for efficient electric vehicle load management in modern power grids." PLOS ONE 19, no. 3 (2024): e0300803. http://dx.doi.org/10.1371/journal.pone.0300803.

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The Electric Vehicle (EV) landscape has witnessed unprecedented growth in recent years. The integration of EVs into the grid has increased the demand for power while maintaining the grid’s balance and efficiency. Demand Side Management (DSM) plays a pivotal role in this system, ensuring that the grid can accommodate the additional load demand without compromising stability or necessitating costly infrastructure upgrades. In this work, a DSM algorithm has been developed with appropriate objective functions and necessary constraints, including the EV load, distributed generation from Solar Photo

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15

Ayyub, Aimen, Mian Muhammad Hamid Nasir, Abdul Kashif Janjua, and Abraiz Khattak. "Demand Side Management Using Battery Energy Storage System for a Sample Residential Load of Pakistan." Pakistan Journal of Engineering and Technology 5, no. 1 (2022): 78–82. http://dx.doi.org/10.51846/vol5iss1pp78-82.

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This research is a step towards the sustainable energy development through the mitigation of the electrical energy crisis using the batteries for not only solving the intermittence but also for demand side management., mostly faced when the energy demand reaches the peak value. An algorithm is presented for the optimal usage of energy by demand side management (DSM) through peak shaving using battery energy storage system (BESS) in the residential areas for developing countries like Pakistan. The data set used is the PRECON data set based on the original demand data collected of 42 houses of L

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16

Youssef, El-Nasser S., Fabrice Labeau, and Marthe Kassouf. "Detection of Load-Altering Cyberattacks Targeting Peak Shaving Using Residential Electric Water Heaters." Energies 15, no. 20 (2022): 7807. http://dx.doi.org/10.3390/en15207807.

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The rapid adoption of the smart grid’s nascent load-management capabilities, such as demand-side management and smart home systems, and the emergence of new classes of controllable high-wattage loads, such as energy storage systems and electric vehicles, magnify the smart grid’s exposure to load-altering cyberattacks. These attacks aim at disrupting power grid services by staging a synchronized activation/deactivation of numerous customers’ high-wattage appliances. A proper defense plan is needed to respond to such attacks and maintain the stability of the grid, and would include prevention, d

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17

Talwariya, Akash, Santosh Kumar Sharma, Pushpendra Singh, and Mohan Kolhe. "GAME THEORY: DEMAND SIDE MANAGEMENT WITH DG’S AND STORAGE UNITS." International Journal of Technical Research & Science 3, no. 04 (2018): 129–33. http://dx.doi.org/10.30780/ijtrs.v3.i3.2018.020.

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DSM (Demand side management) is an approach have the objective to make our consumers energy efficient for long term. DSM can be designed to control the electricity consumption of individual users. DSM categorized the load in two groups’ base line load which are constant and uninterruptible loads and interruptible loads which can shift from peak duration to normal duration and their consumption duration is also manageable. Demand side Management for the consumer in the presence of storage units and DG’s is executed by NonCooperative Game Theory. Non-cooperative game theory deals with individual

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18

Ha, Duy Long, Stéane Ploix, Eric Zamai, and Mireile Jacomino. "Realtimes dynamic optimization for demand-side load management." International Journal of Management Science and Engineering Management 3, no. 4 (2008): 243–52. http://dx.doi.org/10.1080/17509653.2008.10671051.

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19

Azit, A. H., S. B. Sairan, and G. B. Jasmon. "Feeder load analysis for utility demand side management." IEE Proceedings C Generation, Transmission and Distribution 136, no. 5 (1989): 303. http://dx.doi.org/10.1049/ip-c.1989.0040.

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20

Sargunaraj, S., D. P. Sen Gupta, and S. Devi. "Short-term load forecasting for demand side management." IEE Proceedings - Generation, Transmission and Distribution 144, no. 1 (1997): 68. http://dx.doi.org/10.1049/ip-gtd:19970599.

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21

Yan, Chun Hua, Xiang Ping Lai, Mi Fang Yan, and Mao Hua Shan. "Preliminary Design of Demand Response Management System." Applied Mechanics and Materials 448-453 (October 2013): 2769–74. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.2769.

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This paper describes the concept and classification of demand response as well as the application status of demand response at home and abroad, designs the overall technical architecture of demand response system, and takes direct load control as an example, then design the entire business process, the internal and external information flow of direct load control based Demand Response system. The research results of this paper will provide China useful references for the future development of demand response management system with independent intellectual property rights.

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22

Apena, Waliu Olalekan. "A Knowledge-Based Demand Side Management: Interruptible Direct Load Approach." European Journal of Engineering Research and Science 2, no. 6 (2017): 71. http://dx.doi.org/10.24018/ejers.2017.2.6.399.

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The study focussed on managing electrical energy supplied to consumers from distribution end through initial knowledge on data acquisition and embedded system. It was achieved by controlling the inductive loads at the consumer premise. The study re-shaped the load and energy demand curve by cycling customers’ inductive loads which are prone to drawing high currents such as air conditioner and water heaters. Data from power utilities were gathered and analysed using tools to generate waveform pattern for energy consumption. Mathematical models for air conditioners and water heaters were derived

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Apena, Waliu Olalekan. "A Knowledge-Based Demand Side Management: Interruptible Direct Load Approach." European Journal of Engineering and Technology Research 2, no. 6 (2017): 71–73. http://dx.doi.org/10.24018/ejeng.2017.2.6.399.

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The study focussed on managing electrical energy supplied to consumers from distribution end through initial knowledge on data acquisition and embedded system. It was achieved by controlling the inductive loads at the consumer premise. The study re-shaped the load and energy demand curve by cycling customers’ inductive loads which are prone to drawing high currents such as air conditioner and water heaters. Data from power utilities were gathered and analysed using tools to generate waveform pattern for energy consumption. Mathematical models for air conditioners and water heaters were derived

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24

Li, Yu Kai, Hong Ouyang, Jia Kui Zhao, Xiu Kai Rong, and Yi Dong. "Coordinated Charging of EVs Based on Demand-Side Management." Applied Mechanics and Materials 596 (July 2014): 760–65. http://dx.doi.org/10.4028/www.scientific.net/amm.596.760.

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Electric vehicles (EVs) are adopted as an effective way to reduce the pollution of atmosphere. However, if EVs are implemented in a large scale without control, peak load would increase significantly and the grid may be overloaded. Based on Demand-Side Management (DSM), an coordinated charging method for EVs to address the problem of that is proposed. Considering load fluctuation of power grid as well as time-of-use (TOU) power price, a multi-objective optimization model is formulated to minimize the charging cost and restrain the load fluctuation. Overall power load is composed of original da

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25

Li, Tao, Kun Peng Xu, and Xue Qing Qi. "Design of Intelligent Home Energy Management for Demand Response Applications." Advanced Materials Research 827 (October 2013): 78–83. http://dx.doi.org/10.4028/www.scientific.net/amr.827.78.

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A Home Energy Management (HEM) system is an integral part of a smart grid that can potentially enable demand response applications for residential customers. It provides a homeowner the ability to automatically perform smart load controls based on utility signals, customers preference and load priority. This paper presents an intelligent HEM for managing high power consumption household appliances for demand response (DR) analysis. The proposed HEM manages household loads according to their preset priority and guarantees the total household power consumption below certain levels.Given the lack

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Serebrennikov, B., K. Petrova, and S. Serebrennikov. "Comprehensive Management of Electricity Demand Distribution in Time." Problems of the Regional Energetics, no. 2(58) (May 2023): 26–41. http://dx.doi.org/10.52254/1857-0070.2023.2-58.03.

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The paper is aimed to strengthen the controllability of electricity consumption mode at all structural layers of the country’s energy system (ES) to establish the optimal load curve in the PS. Following this goal, the energy system was broken down into seven structural layers - from the technological operation to the ES. For each layer, an expert assessment of the effectiveness of six institutional and operational methods of electricity demand-side management (DSM) was done. The integrated application of the suggested methods was tested in two industrial consumers, which proved the effectivene

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Atawi, Ibrahem E., Ahmed M. Kassem, and Sherif A. Zaid. "Modeling, Management, and Control of an Autonomous Wind/Fuel Cell Micro-Grid System." Processes 7, no. 2 (2019): 85. http://dx.doi.org/10.3390/pr7020085.

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This paper proposes a microelectric power grid that includes wind and fuel cell power generation units, as well as a water electrolyzer for producing hydrogen gas. The grid is loaded by an induction motor (IM) as a dynamic load and constant impedance load. An optimal control algorithm using the Mine Blast Algorithm (MBA) is designed to improve the performance of the proposed renewable energy system. Normally, wind power is adapted to feed the loads at normal circumstances. Nevertheless, the fuel cell compensates extra load power demand. An optimal controller is applied to regulate the load vol

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Khan, Muhammad Bilal, and Tahir Mehmood. "Two-Stage Approach for Demand Side Management in Multi-Smart Grids." International Journal of Emerging Engineering and Technology 2, no. 2 (2023): 8–12. http://dx.doi.org/10.57041/7y7y7e30.

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In the face of escalating electricity demand driven by technological advancements and a growing population, efficient management becomes imperative. This study explores demand-side management (DSM) within smart grids (SGs) to minimize customer bills, alleviate peak loads, and mitigate losses. The research employs diverse strategies and compares their effectiveness, focusing on optimal load consumption across smart microgrids. Key contributions include a DSM strategy for cost reduction, efficient peak load reduction, and active power loss minimization in smart microgrids. The proposed approach

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Mulyono, Mulyono. "Implementasi Demand Side Management (DSM) Pada Instalasi Pengolahan Air PDAM Mulia Baru." Energi & Kelistrikan 12, no. 1 (2020): 43–52. http://dx.doi.org/10.33322/energi.v12i1.934.

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The Mulia Baru Water Treatment Plant (IPA) is one of 6 Water Treatment Plants owned by the Ketapang Regency PDAM that is indicated to use a large amount of electrical energy. From the data obtained during one year (January to December 2017), the average monthly electricity consumption is 128,016,667 kWh with an average.Drinking Water Production Volume per month of 144,119,833 m3. Therefore the average Specific Energy Consumption (SEC) value for 2017 is 0.89. Through the application of the Peak Clipping and Strategic Concervation DSM program, a decrease in peak load occurs at a time interval be

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Németh, Dániel István, and Kálmán Tornai. "Electrical Load Classification with Open-Set Recognition." Energies 16, no. 2 (2023): 800. http://dx.doi.org/10.3390/en16020800.

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Full utilization of renewable energy resources is a difficult task due to the constantly changing demand-side load of the electrical grid. Demand-side management would solve this crucial problem. To enable demand-side management, knowledge about the composition of the grid load is required, as well as the ability to schedule individual loads. There are proposed Smart Plugs presented in the literature capable of such tasks. The problem, however, is that these methods lack the ability to detect if a previously unseen electrical load is connected. Misclassification of such loads presents a proble

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Cao, Jing Jin, and Li Jun Qin. "The Summary of Load Forecasting Method Based on Power Demand Side Management." Applied Mechanics and Materials 494-495 (February 2014): 1615–18. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1615.

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Weather, industrial structure and power demand side management can affect the load, however, the power demand side management has the most direct influence on the change of load. This paper first introduces the purpose of the electric power demand side management, then it introduces the relationship between the load forecasting and the power demand side management, furthermore it respectively introduces a variety of load forecasting method according to the time distribution, finally it compares the advantages and disadvantages of load forecasting methods for each time distribution respectively

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32

Krishna, T. V., M. K. Maharana, and C. K. Panigrahi. "Integrated Design and Control of Renewable Energy Sources for Energy Management." Engineering, Technology & Applied Science Research 10, no. 3 (2020): 5857–63. https://doi.org/10.5281/zenodo.3934808.

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Growing population and expanding industry set off the demand for electrical energy and issues, such as the problem of peak load demand, emerge. To balance the supply and load demand problem, the energy management system has the vital role of Electric Peak shaving with the integration of microgrid into the utility grid. The combination of demand-side management with storable energy sources helps us resolve the matters concerned with the peak load demand. However, in a microgrid, whenever the distributed energy sources are interconnected, the DC bus link voltage will vary due to the inherent beh

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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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Yu, Fan, Lei Wang, Qiaoyong Jiang, Qunmin Yan, and Shi Qiao. "Self-Attention-Based Short-Term Load Forecasting Considering Demand-Side Management." Energies 15, no. 12 (2022): 4198. http://dx.doi.org/10.3390/en15124198.

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Accurate and rapid forecasting of short-term loads facilitates demand-side management by electricity retailers. The complexity of customer demand makes traditional forecasting methods incapable of meeting the accuracy requirements, so a self-attention based short-term load forecasting (STLF) considering demand-side management is proposed. In the data preprocessing stage, non-parametric kernel density estimation is used to construct customer electricity consumption feature curves, and then historical load data are used to delineate the feasible domain range for outlier detection. In the feature

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35

Tamilarasu, Karthick, Charles Raja Sathiasamuel, Jeslin Drusila Nesamalar Joseph, Rajvikram Madurai Elavarasan, and Lucian Mihet-Popa. "Reinforced Demand Side Management for Educational Institution with Incorporation of User’s Comfort." Energies 14, no. 10 (2021): 2855. http://dx.doi.org/10.3390/en14102855.

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Soaring energy demand and the establishment of various trends in the energy market have paved the way for developing demand-side management (DSM) from the consumer side. This paper proposes a reinforced DSM (RDSM) approach that uses an enhanced binary gray wolf optimization algorithm (EBGWO) that benefits the consumer premises with load scheduling, and peak demand reduction. To date, DSM research has been carried out for residential, commercial and industrial loads, whereas DSM approaches for educational loads have been less studied. The institution load also consumes much utility energy durin

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McBee, Kerry D., Jacquelyn Chong, and Prasanth Rudraraju. "Demand Side Management Effects on Substation Transformer Capacity Limits." Applied Sciences 9, no. 16 (2019): 3266. http://dx.doi.org/10.3390/app9163266.

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In high penetrations, demand side management (DMS) applications augment a substation power transformer’s load profile, which can ultimately affect the unit’s capacity limits. Energy storage (ES) applications reduce the evening peaking demand, while time-of-use rates incentivize end-users to charge electric vehicles overnight. The daily load profile is further augmented by high penetrations of photovoltaic (PV) systems, which reduce the midday demand. The resulting load profile exhibits a more flattened characteristic when compared to the historical cyclic profile. Although the initial impact o

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Eichkoff, Henrique S., Daniel P. Bernardon, Julio A. Bitencourt, et al. "Tolerance-Based Demand-Side Management for Load Shifting in Rural Areas of Southern Brazil." Energies 16, no. 8 (2023): 3395. http://dx.doi.org/10.3390/en16083395.

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In the rural regions of southern Brazil, electricity is largely directed to irrigation activities on rice crops at restricted periods of the year. Typically, customers in these regions are called “irrigators”, and have some characteristics different from loads in urban centers, such as high demand levels and sharp load variations. These characteristics can result in problems of excessive loading on distribution grids at certain times of the day, generating concerns for the power utilities in relation to the security of the electrical system, energy supply to customers, and the integrity of ele

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Sanghvi, Arun P. "Flexible Strategies for Load/Demand Management Using Dynamic Pricing." IEEE Power Engineering Review 9, no. 2 (1989): 41–42. http://dx.doi.org/10.1109/mper.1989.4310463.

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39

Giusti, Alessandro, Matteo Salani, Gianni A. Di Caro, Andrea E. Rizzoli, and Luca M. Gambardella. "Restricted Neighborhood Communication Improves Decentralized Demand-Side Load Management." IEEE Transactions on Smart Grid 5, no. 1 (2014): 92–101. http://dx.doi.org/10.1109/tsg.2013.2267396.

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40

Sanghvi, A. P. "Flexible strategies for load/demand management using dynamic pricing." IEEE Transactions on Power Systems 4, no. 1 (1989): 83–93. http://dx.doi.org/10.1109/59.32461.

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41

Gustafson, M. W. "Hour-by-Hour Load Management Effects on System Demand." IEEE Transactions on Power Systems 2, no. 3 (1987): 677–83. http://dx.doi.org/10.1109/tpwrs.1987.4335194.

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42

Abdelfattah, Asmaa I., Mostafa F. Shaaban, Ahmed H. Osman, and Abdelfatah Ali. "Optimal Management of Seasonal Pumped Hydro Storage System for Peak Shaving." Sustainability 15, no. 15 (2023): 11973. http://dx.doi.org/10.3390/su151511973.

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Power demand varies on a daily and seasonal basis. Responding to changing demands over time is challenging for energy suppliers as it causes expensive power plants to operate in high-demand seasons, usually summer, increasing the cost of electricity. Peak load shaving makes the load curve flatten by reducing the peak load and shifting it to times of lower demand, hence reducing the operation of expensive power plants. Hence, there is a need for large-scale and long-term ESS to store energy in the time of low-demand seasons for future utilization in the highest-demand ones. In this work, an ene

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Amir, Vahid, Shahram Jadid, and Mehdi Ehsan. "Operation of networked multi-carrier microgrid considering demand response." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 2 (2019): 724–44. http://dx.doi.org/10.1108/compel-07-2018-0276.

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Purpose Microgrids are inclined to use renewable energy resources within the availability limits. In conventional studies, energy interchange among microgrids was not considered because of one-directional power flows. Hence, this paper aims to study the optimal day-ahead energy scheduling of a centralized networked multi-carrier microgrid (NMCMG). The energy scheduling faces new challenges by inclusion of responsive loads, integration of renewable sources (wind and solar) and interaction of multi-carrier microgrids (MCMGs). Design/methodology/approach The optimization model is formulated as a

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Elias, H. Ait Aissa, and UĞURENVER Abbas. "Energy Consumption Management of Residential Appliances Based on Load Signatures Decomposition." Engineering and Technology Journal 9, no. 06 (2024): 4241–48. https://doi.org/10.5281/zenodo.12065047.

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Nowadays, energy consumption management techniques in the residential side have gained significant importance due to their considerable influence on the control of power flow in distribution networks and especially the possibility of managing a huge part of domestic electrical demand during peak-load hours. Since the customer’s data are recorded in an aggregated form, therefore, in order to apply control approaches, it is necessary to use load pattern evaluation techniques (load signature). These methods capable to decomposition effective features that help control approaches to implemen

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Philipo, Godiana Hagile, Josephine Nakato Kakande, and Stefan Krauter. "Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping." Energies 15, no. 14 (2022): 5215. http://dx.doi.org/10.3390/en15145215.

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Due to failures or even the absence of an electricity grid, microgrid systems are becoming popular solutions for electrifying African rural communities. However, they are heavily stressed and complex to control due to their intermittency and demand growth. Demand side management (DSM) serves as an option to increase the level of flexibility on the demand side by scheduling users’ consumption patterns profiles in response to supply. This paper proposes a demand-side management strategy based on load shifting and peak clipping. The proposed approach was modelled in a MATLAB/Simulink R2021a envir

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B., Ashok Kumar, Senthilrani S., Rajeswari J., and T. Rajapandi. "Energy Management in a Standalone PV System with Priority Controller." E3S Web of Conferences 387 (2023): 02008. http://dx.doi.org/10.1051/e3sconf/202338702008.

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In many developing countries, meeting the energy demand has become a major challenge. Such problem is more prominent in rural and remote areas of the country. The load requirements in these areas are less and the same can be addressed with renewable energy sources. The proposed work deals with a MPPT based standalone PV system using a priority controller. The system can be used to meet out the critical load demands in rural areas. Due to change in weather conditions, an unregulated output in PV array is observed. Hence, maximum power is tracked using a DC-DC converter, where the tracked data i

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Ko, Wonsuk, Hamsakutty Vettikalladi, Seung-Ho Song, and Hyeong-Jin Choi. "Implementation of a Demand-Side Management Solution for South Korea’s Demand Response Program." Applied Sciences 10, no. 5 (2020): 1751. http://dx.doi.org/10.3390/app10051751.

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In this paper, we show the development of a demand-side management solution (DSMS) for demand response (DR) aggregator and actual demand response operation cases in South Korea. To show an experience, Korea’s demand response market outline, functions of DSMS, real contracted capacity, and payment between consumer and load aggregator and DR operation cases are revealed. The DSMS computes the customer baseline load (CBL), relative root mean squared error (RRMSE), and payments of the customers in real time. The case of 10 MW contracted customers shows 108.03% delivery rate and a benefit of 854,90

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Samadi, Mikhak, Javad Fattahi, Henry Schriemer, and Melike Erol-Kantarci. "Demand Management for Optimized Energy Usage and Consumer Comfort Using Sequential Optimization." Sensors 21, no. 1 (2020): 130. http://dx.doi.org/10.3390/s21010130.

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The Energy-efficiency of demand management technologies and customer’s experience have emerged as important issues as consumers began to heavily adopt these technologies. In this context, where the electrical load imposed on the smart grid by residential users needs to be optimized, it can be better managed when customer’s comfort parameters are used, such as thermal comfort and preferred appliance usage time interval. In this paper a multi-layer architecture is proposed that uses a multi-objective optimization model at the energy consumption level to take consumer comfort and experience into

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Manan Desai. "Energy Management through V2G concept with EV Charging/Discharging Strategy." Journal of Electrical Systems 20, no. 11s (2024): 4774–85. https://doi.org/10.52783/jes.8736.

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The integration of Vehicle-to-Grid (V2G) technology has emerged as a promising solution for managing energy demand, enhancing grid stability, and reducing peak loads. This paper explores an advanced V2G-based energy management system that incorporates renewable energy sources (RES), such as solar and wind, to further optimize grid operations. By leveraging bidirectional energy flow between EVs and the grid, combined with real-time forecasting of RES generation, the system addresses renewable intermittency and maximizes energy utilization. A novel algorithm is developed to schedule the charging

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Dr., P.S.Manoharan, B.Ashok Kumar Dr., Sherif V.Navas, P.Satheeshkumar, and V.P.Thiagu. "Smart Electricity Usage Analyzer and Controller." Journal of Optoelectronics and Communication 6, no. 1 (2024): 19–27. https://doi.org/10.5281/zenodo.10691566.

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<em>Electricity boards and consumers are facing problems like unpredictability of power consumption bills, power theft, Unannounced power failure etc. The solution to all of these issues is to promptly monitor customer load, which aids in appropriate billing. Thus, a smart energy management system called Energauge is proposed to track maximum demand, prevent power theft, and optimize the energy usage of the consumer. The Static Digital Energy Meter is a system that measures the energy consumed by a load and regulates abnormal electricity usage due to multiple loads being used at once. The cont

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