Relevant bibliographies by topics / Aggregate residential load

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Aggregate residential load'

Author: Grafiati
Published: 14 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Aggregate residential load"

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Zhou, Xiao, Jing Shi, Yuejin Tang, Yuanyuan Li, Shujian Li, and Kang Gong. "Aggregate Control Strategy for Thermostatically Controlled Loads with Demand Response." Energies 12, no. 4 (2019): 683. http://dx.doi.org/10.3390/en12040683.

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The improvement of intelligent appliances provides the basis for the demand response (DR) of residential loads. Thermostatically controlled loads (TCLs) are one of the most important DR resources and are characterized by a large load and a high degree of control. Due to its distribution characteristic, the aggregation of TCLs and their control are key issues in implementing the load control for the DR. In this study, we focus on air conditioning loads as an example of TCLs and propose a simple and transferable aggregate model by establishing a virtual house model, which accurately captures the
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Al-Rawi, Azhar M. "A Realistic Aggregate Load Representation for A Distribution Substation in Baghdad Network." Journal of Engineering 24, no. 2 (2018): 100–117. http://dx.doi.org/10.31026/j.eng.2018.02.07.

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Electrical distribution system loads are permanently not fixed and alter in value and nature with time. Therefore, accurate consumer load data and models are required for performing system planning, system operation, and analysis studies. Moreover, realistic consumer load data are vital for load management, services, and billing purposes. In this work, a realistic aggregate electric load model is developed and proposed for a sample operative substation in Baghdad distribution network. The model involves aggregation of hundreds of thousands of individual components devices such as motors, appli
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Huang, Hui, Yun Gao, Song Wang, et al. "Aggregate scheduling potential evaluation of large-scale air conditioning loads." Journal of Physics: Conference Series 2757, no. 1 (2024): 012012. http://dx.doi.org/10.1088/1742-6596/2757/1/012012.

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Abstract As an adjustable load, the air conditioning (AC) load is a high-quality resource for power system operation regulation. However, due to the large number of AC loads and the heterogeneity among individual users, the scheduling potential of AC loads is difficult to accurately calculate. An aggregate scheduling potential evaluation of large-scale AC loads is proposed. Firstly, according to the operation characteristics of ACs, the aggregation models of central ACs and household split-type ACs are constructed by using the equivalent thermal parameter model and Monte Carlo sampling method
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Mohammadabadi, Abolfazl, Igor Sartori, and Laurent Georges. "Validation of the Energy Demand Load Profile Estimator “PROFet” for Trondheim Non-residential Buildings." E3S Web of Conferences 562 (2024): 11002. http://dx.doi.org/10.1051/e3sconf/202456211002.

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Accurate long-term forecasts of aggregate energy load profiles are crucial for effective energy system planning at regional and national scales. This study aims to validate PROFet, a flexible load profile modeling tool. PROFet forecasts weather-dependent heating and electrical load profiles at an hourly resolution for both residential and non-residential buildings connected to district heating systems. Given that the tool’s accuracy for residential buildings has been demonstrated in previous studies, further validation is needed for non-residential buildings. To achieve this, our study evaluat
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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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Nashrullah, Erwin, and Abdul Halim. "Polynomial Load Model Development for Analysing Residential Electric Energy Use Behaviour." MATEC Web of Conferences 218 (2018): 01007. http://dx.doi.org/10.1051/matecconf/201821801007.

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Analysing and simulating the dynamic behaviour of home power system as a part of community-based energy system needs load model of either aggregate or dis-aggregate power use. Moreover, in the context of home energy efficiency, development of specific and accurate residential load model can help system designer to develop a tool for reducing energy consumption effectively. In this paper, a new method for developing two types of residential polynomial load model is presented. In the research, computation technique of model parameters is provided based on median filter and least square estimatio
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Afzaal, Muhammad Umar, Intisar Ali Sajjad, Muhammad Faisal Nadeem Khan, et al. "Inter-temporal characterization of aggregate residential demand based on Weibull distribution and generalized regression neural networks for scenario generations." Journal of Intelligent & Fuzzy Systems 39, no. 3 (2020): 4491–503. http://dx.doi.org/10.3233/jifs-200462.

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The characterization of electrical demand patterns for aggregated customers is considered as an important aspect for system operators or electrical load aggregators to analyze their behavior. The variation in electrical demand among two consecutive time intervals is dependent on various factors such as, lifestyle of customers, weather conditions, type and time of use of appliances and ambient temperature. This paper proposes an improved methodology for probabilistic characterization of aggregate demand while considering different demand aggregation levels and averaging time step durations. At
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Pires, Vitor Fernão, Armando Cordeiro, Tito G. Amaral, João F. Martins, and Ilhami Colak. "The Impact of Power Definitions on the Disaggregation of Home Loads for Smart Meter Measurements." Applied Sciences 15, no. 9 (2025): 5004. https://doi.org/10.3390/app15095004.

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The use of load-monitoring systems in residential homes is fundamental in the context of smart homes and smart grids. Specifically, these systems will allow, for example, the provision of efficient energy management and/or load forecasting for residential homes. To achieve this goal, these systems can be based on the concept of a smart meter. However, a smart meter provides aggregate power consumption, which makes it extremely complex to identify individual home appliances, even using advanced algorithms. In line with this, this paper proposes to analyze the impact of power definitions on the
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Lindberg, K. B., S. J. Bakker, and I. Sartori. "Modelling electric and heat load profiles of non-residential buildings for use in long-term aggregate load forecasts." Utilities Policy 58 (June 2019): 63–88. http://dx.doi.org/10.1016/j.jup.2019.03.004.

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Roth, Jonathan, Jayashree Chadalawada, Rishee K. Jain, and Clayton Miller. "Uncertainty Matters: Bayesian Probabilistic Forecasting for Residential Smart Meter Prediction, Segmentation, and Behavioral Measurement and Verification." Energies 14, no. 5 (2021): 1481. http://dx.doi.org/10.3390/en14051481.

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As new grid edge technologies emerge—such as rooftop solar panels, battery storage, and controllable water heaters—quantifying the uncertainties of building load forecasts is becoming more critical. The recent adoption of smart meter infrastructures provided new granular data streams, largely unavailable just ten years ago, that can be utilized to better forecast building-level demand. This paper uses Bayesian Structural Time Series for probabilistic load forecasting at the residential building level to capture uncertainties in forecasting. We use sub-hourly electrical submeter data from 120 r
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Dissertations / Theses on the topic "Aggregate residential load"

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SAJJAD, MALIK INTISAR ALI. "Characterisation and Flexibility Assessment of Aggregate Electrical Demand." Doctoral thesis, Politecnico di Torino, 2015. http://hdl.handle.net/11583/2594365.

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The renewable energy sources (RES) are intermittent in their nature and their integration in electric power grid has introduced the mismatch between supply and demand. This mismatch can be leveled by using the flexibilities from the supply and the demand side. The demand side in a power system has key importance in the evolving context of the energy systems. Electrical load patterns that represent the consumption level are affected by different types of uncertainties associated with customer’s behavior and with keeping acceptable comfort level. The resulting aggregated load pattern indicates t
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Hasan, Mehedi. "Aggregator-Assisted Residential Participation in Demand Response Program." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/32546.

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The demand for electricity of a particular location can vary significantly based on season, ambient temperature, time of the day etc. High demand can result in very high wholesale price of electricity. The reason for this is very short operating duration of peaking power plants which require large capital investments to establish. Those power plants remain idle for most of the time of a year except for some peak demand periods during hot summer days. This process is inherently inefficient but it is necessary to meet the uninterrupted power supply criterion. With the advantage of new technologi
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Adhikari, Rajendra. "Algorithms and Simulation Framework for Residential Demand Response." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/87585.

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An electric power system is a complex network consisting of a large number of power generators and consumers interconnected by transmission and distribution lines. One remarkable thing about the electric grid is that there has to be a continuous balance between the amount of electricity generated and consumed at all times. Maintaining this balance is critical for the stable operation of the grid and this task is achieved in the long term, short term and real-time by operating a three-tier wholesale electricity market consisting of the capacity market, the energy market and the ancillary servic
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Lee, Seungman. "Optimization and Simulation Based Cost-Benefit Analysis on a Residential Demand Response : Applications to the French and South Korean Demand Response Mechanisms." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED054.

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À cause de la préoccupation mondiale sur les émissions de CO2, le changement climatique et la transition énergétique, nous faisons plus d'attention à la maîtrise de la demande d'électricité. En particulier, avec l'effacement de consommation électrique, nous pouvons profiter de plusieurs avantages, comme l'augmentation de l'efficacité de l'ensemble du marché de l'électricité, la sécurité d'approvisionnement d'électricité renforcée, et l'investissement plus efficace et souhaitable ainsi que l'avantage de l'environnement et le soutien aux énergies renouvelables. En Europe, la France a démarré le
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Book chapters on the topic "Aggregate residential load"

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Mishra, Kakuli, Srinka Basu, and Ujjwal Maulik. "Aggregate Load Forecasting in Residential Smart Grids Using Deep Learning Model." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45170-6_2.

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Conference papers on the topic "Aggregate residential load"

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Sajjad, Intisar A., Gianfranco Chicco, and Roberto Napoli. "Demand flexibility time intervals for aggregate residential load patterns." In 2015 IEEE Eindhoven PowerTech. IEEE, 2015. http://dx.doi.org/10.1109/ptc.2015.7232760.

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Ledva, Gregory S., Sarah Peterson, and Johanna L. Mathieu. "Benchmarking of Aggregate Residential Load Models Used for Demand Response." In 2018 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2018. http://dx.doi.org/10.1109/pesgm.2018.8585847.

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Guo, Z., J. Meyer, N. Al-Shibli, et al. "Aggregate Harmonic Load Models of Residential Customers. Part 1: Time-Domain Models." In 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). IEEE, 2019. http://dx.doi.org/10.1109/isgteurope.2019.8905621.

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Guo, Z., J. Meyer, N. Al-Shibli, et al. "Aggregate Harmonic Load Models of Residential Customers. Part 2: Frequency-Domain Models." In 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). IEEE, 2019. http://dx.doi.org/10.1109/isgteurope.2019.8905746.

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Collin, A. J., I. Hernando-Gil, J. L. Acosta, and S. Z. Djokic. "An 11 kV steady state residential aggregate load model. Part 1: Aggregation methodology." In 2011 IEEE PES PowerTech - Trondheim. IEEE, 2011. http://dx.doi.org/10.1109/ptc.2011.6019381.

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Collin, A. J., J. L. Acosta, I. Hernando-Gil, and S. Z. Djokic. "An 11 kV steady state residential aggregate load model. Part 2: Microgeneration and demand-side management." In 2011 IEEE PES PowerTech - Trondheim. IEEE, 2011. http://dx.doi.org/10.1109/ptc.2011.6019384.

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Zufferey, Thierry, Damiano Toffanin, Diren Toprak, Andreas Ulbig, and Gabriela Hug. "Generating Stochastic Residential Load Profiles from Smart Meter Data for an Optimal Power Matching at an Aggregate Level." In 2018 Power Systems Computation Conference (PSCC). IEEE, 2018. http://dx.doi.org/10.23919/pscc.2018.8442470.

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Schwartz, Ryan, and John F. Gardner. "Emergent Behavior in a Population of Thermostatically Controlled Loads With Peer-to-Peer Communication." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10456.

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Abstract Thermostatically controlled loads (TCLs) are often considered as a possible resource for demand response (DR) events. However, it is well understood that coordinated control of a large population of previously un-coordinated TCLs may result in load synchronization that results in higher peaks and large uncontrolled swings in aggregate load. In this paper we use agent based modeling to simulate a number of residential air conditioning loads and allow each to communicate a limited amount of information with their nearest neighbors. As a result, we document emergent behavior of this larg
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Camporeale, Sergio Mario, Bernardo Fortunato, Marco Torresi, Flavia Turi, Antonio Marco Pantaleo, and Achille Pellerano. "Part Load Performance and Operating Strategies of a Natural Gas–Biomass Dual Fuelled Microturbine for CHP Generation." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-27109.

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The focus of this paper is on the part load performance of a small scale (100 kWe) combined heat and power (CHP) plant fired by natural gas and solid biomass to serve a residential energy demand. The plant is based on a modified regenerative micro gas turbine (MGT), where compressed air exiting from recuperator is externally heated by the hot gases produced in a biomass furnace; then the air is conveyed to combustion chamber where a conventional internal combustion with natural gas takes place, reaching the maximum cycle temperature allowed by the turbine blades. The hot gas expands in the tur
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Ribarov, Lubomir A., and David S. Liscinsky. "Microgrid Viability for Small-Scale Cooling, Heating, and Power." In ASME 2005 Power Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pwr2005-50045.

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Cooling, Heating, and Power (CHP) energy systems provide higher fuel efficiency than conventional systems, resulting in reduced emissions and other environmental benefits. Until recently the focus of CHP system development has been primarily on medium-scale commercial applications in a limited number of market segments where clear value propositions lead to short term payback. Small-scale integrated CHP systems that show promise of achieving economic viability through significant improvements in fuel utilization have received increased attention lately. In this paper the economic potential is
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