Auswahl der wissenschaftlichen Literatur zum Thema „Variable peak electricity time“

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Zeitschriftenartikel zum Thema "Variable peak electricity time"

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Mohammadmahdi, Ghasemloo, Nateghi Abolfazl, and Gholami Zanjan Hadi. "Service center in electricity distribution sector with variable peak electricity time: A two-stage queuing model approach with nested simulation." World Journal of Advanced Research and Reviews 24, no. 1 (2024): 1433–46. https://doi.org/10.5281/zenodo.15032100.

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Customer service is essential for any business, significantly impacting customer satisfaction, brand reputation, and reducing associated costs. In the electricity industry, this importance is heightened due to the critical nature of electricity in daily life and growing usage rate of new technologies. Effective customer service in electric distribution companies involves handling a wide range of inquiries, from billing issues to technical support, requiring both remote and on-site assistance. The variability in customer calls, influenced by factors such as peak electricity hours, and different
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Mascherbauer, Philipp, Franziska Schöniger, Lukas Kranzl, and Songmin Yu. "Impact of variable electricity price on heat pump operated buildings." Open Research Europe 2 (September 6, 2024): 135. http://dx.doi.org/10.12688/openreseurope.15268.2.

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Background Residential buildings with heat pumps show promising possibilities for demand-side management. The operation optimization of such heating systems can lead to cost reduction and, at the same time, change electricity consumption patterns, which is especially prevalent in the case of a variable price signal. In this work, we deal with the following question: How does the volatility of a variable retail electricity price change the energy consumption of buildings with a smart energy management system? Methods In this context, we take Austria as an example and aggregate the findings of i
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Mascherbauer, Philipp, Franziska Schöniger, Lukas Kranzl, and Songmin Yu. "Impact of variable electricity price on heat pump operated buildings." Open Research Europe 2 (December 7, 2022): 135. http://dx.doi.org/10.12688/openreseurope.15268.1.

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Background: Residential buildings with heat pumps show promising possibilities for demand-side management. The operation optimization of such heating systems can lead to cost reduction and, at the same time, change electricity consumption patterns, which is especially prevalent in the case of a variable price signal. In this work, we deal with the following question: How does the volatility of a variable retail electricity price change the energy consumption of buildings with a smart energy management system? Methods: In this context, we take Austria as an example and aggregate the findings of
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Aswanuwath, Lalitpat, Warut Pannakkong, Jirachai Buddhakulsomsiri, Jessada Karnjana, and Van-Nam Huynh. "A Hybrid Model of VMD-EMD-FFT, Similar Days Selection Method, Stepwise Regression, and Artificial Neural Network for Daily Electricity Peak Load Forecasting." Energies 16, no. 4 (2023): 1860. http://dx.doi.org/10.3390/en16041860.

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Daily electricity peak load forecasting is important for electricity generation capacity planning. Accurate forecasting leads to saving on excessive electricity generating capacity, while maintaining the stability of the power system. The main challenging tasks in this research field include improving forecasting accuracy and reducing computational time. This paper proposes a hybrid model involving variational mode decomposition (VMD), empirical mode decomposition (EMD), fast Fourier transform (FFT), stepwise regression, similar days selection (SD) method, and artificial neural network (ANN) f
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Mohammadmahdi Ghasemloo, Abolfazl Nateghi, and Hadi Gholami Zanjani. "Service center in electricity distribution sector with variable peak electricity time: A two-stage queuing model approach with nested simulation." World Journal of Advanced Research and Reviews 24, no. 1 (2024): 1433–46. http://dx.doi.org/10.30574/wjarr.2024.24.1.2597.

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Customer service is essential for any business, significantly impacting customer satisfaction, brand reputation, and reducing associated costs. In the electricity industry, this importance is heightened due to the critical nature of electricity in daily life and growing usage rate of new technologies. Effective customer service in electric distribution companies involves handling a wide range of inquiries, from billing issues to technical support, requiring both remote and on-site assistance. The variability in customer calls, influenced by factors such as peak electricity hours, and different
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Liu, Jiangping, Wei Zhang, Guang Hu, et al. "Master–Slave Game Pricing Strategy of Time-of-Use Electricity Price of Electricity Retailers Considering Users’ Electricity Utility and Satisfaction." Sustainability 17, no. 7 (2025): 3020. https://doi.org/10.3390/su17073020.

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With the establishment of a competitive electricity retail market, how to optimize the retail electricity price mechanism has become the core of all kinds of retail companies to explore. Aiming at the pricing problem of time-of-use electricity price, this paper proposes a pricing strategy based on the master–slave game model. Firstly, considering the user’s electricity utility and satisfaction factors, the comprehensive benefit function of the electricity selling company with electricity price as the decision variable and the user’s comprehensive benefit function with electricity consumption a
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Alvisi, Stefano, and Marco Franchini. "A robust approach based on time variable trigger levels for pump control." Journal of Hydroinformatics 19, no. 6 (2017): 811–22. http://dx.doi.org/10.2166/hydro.2017.141.

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Abstract An approach for the control of a pumping plant feeding a tank at the inlet of a water distribution system is presented. The approach is aimed at minimizing the energy costs by maximizing pumping during off-peak electricity tariff periods. It is based on trigger levels which are variable during the day according to a prefixed pattern in order to ensure that the water level in the elevated tank is at its minimum and maximum values at the end of the peak and off-peak tariff periods, respectively. The pattern of the trigger levels is defined by solving a multi-objective problem aimed at m
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Hu, Wei, Xinyan Zhang, Lijuan Zhu, and Zhenen Li. "Optimal Allocation Method for Energy Storage Capacity Considering Dynamic Time-of-Use Electricity Prices and On-Site Consumption of New Energy." Processes 11, no. 6 (2023): 1725. http://dx.doi.org/10.3390/pr11061725.

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Configuring energy storage devices can effectively improve the on-site consumption rate of new energy such as wind power and photovoltaic, and alleviate the planning and construction pressure of external power grids on grid-connected operation of new energy. Therefore, a dual layer optimization configuration method for energy storage capacity with source load collaborative participation is proposed. The external model introduces a demand-side response strategy, determines the peak, flat, and valley periods of the time-of-use electricity price-based on the distribution characteristics of load a
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Wang, Dawei, Hanqi Dai, Yuan Jin, Zhuoqun Li, Shanna Luo, and Xuebin Li. "Employing Quantum Entanglement for Real-Time Coordination of Distributed Electric Vehicle Charging Stations: Advancing Grid Efficiency and Stability." Energies 18, no. 11 (2025): 2917. https://doi.org/10.3390/en18112917.

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The widespread deployment of electric vehicles (EVs) has introduced substantial challenges to electricity pricing, grid stability, and renewable energy integration. This paper presents the first real-time quantum-enhanced electricity pricing framework for large-scale EV charging networks, marking a significant departure from existing approaches based on mixed-integer programming (MILP) and deep reinforcement learning (DRL). The proposed framework incorporates renewable intermittency, demand elasticity, and infrastructure constraints within a high-dimensional optimization model. The objective i
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He, Hengjing, Shangli Zhou, Leping Zhang, Junhong Lin, Weile Chen, and Di Wu. "Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage." Journal of Control Science and Engineering 2020 (November 25, 2020): 1–8. http://dx.doi.org/10.1155/2020/8896612.

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Based on the intelligent bidirectional interactive technology, this paper studies the flexible working mode and optimal power consumption strategy of several typical power consumption loads including energy storage equipment. Based on the real-time price scheme, the objective function and constraints are obtained, and the adaptive algorithm for beetle swarm optimization with variable whisker length is used to optimize so that the electric equipment can automatically change its power load through the intelligent terminal and even work in the way of reverse power transmission. The proposed optim
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Dissertationen zum Thema "Variable peak electricity time"

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Higginson, Sarah L. "The rhythm of life is a powerful beat : demand response opportunities for time-shifting domestic electricity practices." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/16018.

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The 2008 Climate Change Act set legally-binding carbon reduction targets. Demand side management (DSM) includes energy use reduction and peak shaving and offers significant potential to reduce the amount of carbon used by the electricity grid. The demand side management (DSM) schemes that have tried to meet this challenge have been dominated by engineering-based approaches and so favour tools like automation (which aims to make shifting invisible) and pricing (which requires customer response) to shift demand. These approaches tend to focus on the tools for change and take little account of pe
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Jose, Anita Ann. "Economic evaluation of small wind generation ownership under different electricity pricing scenarios." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/7075.

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Master of Science<br>Department of Electrical and Computer Engineering<br>Anil Pahwa<br>With the Smart Grid trend setting in, various techniques to make the existing grid smarter are being considered. The price of electricity is one of the major factors, which affects the electric utility as well as the numerous consumers connected to the grid. Therefore deciding the right price of electricity for the time of day would be an important decision to make. Consumers’ response to this change in price will impact peak demand as well as their own annual energy bill. Owning a small wind generator unde
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Li, Xibao. "Learning From the Implementation of Residential Optional Time of Use Pricing in the U.S. Electricity Industry." The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1047271855.

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Silva, Jesús, Naveda Alexa Senior, Palma Hugo Hernández, Núẽz William Niebles, and Núẽz Leonardo Niebles. "Temporary Variables for Predicting Electricity Consumption Through Data Mining." Institute of Physics Publishing, 2020. http://hdl.handle.net/10757/652132.

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In the new global and local scenario, the advent of intelligent distribution networks or Smart Grids allows real-time collection of data on the operating status of the electricity grid. Based on this availability of data, it is feasible and convenient to predict consumption in the short term, from a few hours to a week. The hypothesis of the study is that the method used to present time variables to a prediction system of electricity consumption affects the results.
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Celebi, Emre. "MODELS OF EFFICIENT CONSUMER PRICING SCHEMES IN ELECTRICITY MARKETS." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/811.

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Suppliers in competitive electricity markets regularly respond to prices that change hour by hour or even more frequently, but most consumers respond to price changes on a very different time scale, i. e. they observe and respond to changes in price as reflected on their monthly bills. This thesis examines mixed complementarity programming models of equilibrium that can bridge the speed of response gap between suppliers and consumers, yet adhere to the principle of marginal cost pricing of electricity. It develops a computable equilibrium model to estimate the time-of-use (TOU) prices t
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Huang, Zhixing. "Cost-Effectiveness of Electricity Energy Efficiency Programs: Demand-Side Management's (DSM) Future Role in Energy Markets and Feasibility of Smart Meters in New York City." Thesis, Boston College, 2011. http://hdl.handle.net/2345/1999.

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Thesis advisor: Scott Fulford<br>Can smart metering program and time-of-use (TOU) prices help reduce energy consumption in New York City? Being able to track electricity consumption levels and to modify consumer usage patterns are important for policy makers to efficiently manage the energy markets. Unfortunately, no reliable and up-to-date data have been brought to bear on this question. I study the effects of time-of-use (TOU) prices and smart metering for the residents of Shanghai and I investigate further what can policy makers do in order to adapt and transfer this successful DSM experien
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Haikola, Matilda, and Malin Söderberg. "Grid Tariff Design for Efficient Utilisation of the Distributor Grid : A qualitative study with actors on the Swedish electricity market." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279515.

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The Swedish electricity system is transitioning due to the establishment of climate policy goals and trends related to technology and demographics. The transition has resulted in an increased demand for electricity. The increased demand for electricity in combination with lack of forecasts, planning and coordination between actors in the electricity sector has led to the occurrence of grid congestion. Extending the network is time-consuming and requires substantial investments. Instead, an alternative is to utilise the available grid capacity more efficiently by implementing flexibility soluti
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Gambardella, Christian [Verfasser], Ottmar [Akademischer Betreuer] Edenhofer, Ottmar [Gutachter] Edenhofer, and Felix [Gutachter] Müsgens. "On the economics of real-time pricing in low-carbon electricity markets : efficiency and feasibility in the presence of policy-induced variable renewable energy supply / Christian Gambardella ; Gutachter: Ottmar Edenhofer, Felix Müsgens ; Betreuer: Ottmar Edenhofer." Berlin : Technische Universität Berlin, 2020. http://d-nb.info/1204478554/34.

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Bücher zum Thema "Variable peak electricity time"

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Centre for Development Studies (Trivandrum, India), ed. Modeling optimal time-differential pricing of electricity under uncertainty: Revisiting the welfare foundations. Centre for Development Studies, 2012.

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Mathis, Charles-François. Coal in Modern Britain. Bloomsbury Publishing Plc,, 2025. https://doi.org/10.5040/9781350523289.

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This is the first book to examine the social and cultural significance of coal in British society in the 19th and 20th centuries. An English-language translation of Charles-François Mathis’s award-winning study, Coal in Modern Britain gets to the heart of Britain’s evolving relationship with this controversial energy source. How did the general public use and manage coal on a daily basis? Did they readily accept it, did they reject it, and how? What were the material and cultural features of a society so reliant on coal? Historians have long considered the political, technical, and economic st
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Buchteile zum Thema "Variable peak electricity time"

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Ryu, Seunghyun, Shinyoung Um, and Suduk Kim. "The Impact of Wind Power Generation on Wholesale Electricity Price at Peak Time Demand in Korea." In Zero-Carbon Energy Kyoto 2009. Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-99779-5_11.

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Manna, Amalesh Kumar, and Asoke Kumar Bhunia. "A Sustainable Production Inventory Model with Variable Demand Dependent on Time, Selling Price, and Electricity Consumption Reduction Level." In Computational Modelling in Industry 4.0. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7723-6_7.

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Adenuga, Olukorede Tijani, Khumbulani Mpofu, and Thobelani Mathenjwa. "Energy Efficiency for Manufacturing Using PV, FSC, and Battery-Super Capacitor Design to Enhance Sustainable Clean Energy Load Demand." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_26.

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AbstractEnergy efficiency (EE) are recognized globally as a critical solution towards reduction of energy consumption, while the management of global carbon dioxide emission complement climate change. EE initiatives drive is a key factor towards climate change mitigation with variable renewable technologies. The paper aimed to design and simulate photovoltaic (PV), fuel cell stack (FCS) systems, and battery-super capacitor energy storage to enhance sustainable clean energy load demand and provide significant decarbonization potentials. An integration of high volume of data in real-time was obt
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Yi, Bo, Yunhe Liu, and Xiao Wang. "Optimization of Ultra-High Voltage Direct Current Power Transmission Curve for High Proportion New Energy Bases." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-9184-2_30.

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AbstractWith the increase in demand for the construction of high proportion new energy base, the power transmission scale of Ultra-High Voltage Direct Current(UHVDC) is growing rapidly, and the characteristics of inter-provincial and inter-regional power transmission are affected by multiple factors, such as the randomness and volatility of new energy in the sending province, the peaks and valleys of the loads, the process of power shortages, and the new time-of use electricity pricing policy in the receiving province. Uncertainty issues are more prominent, and it has changed significantly com
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R. Walwyn, David. "Balancing Renewable Energy Capacity, Time of Use Tariffs and Energy Storage in Energy Systems." In Energy Storage Applications in Power Systems [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.111433.

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The intermittency of solar energy predicates the simultaneous use of energy storage to maintain secure supplies. However, storage is expensive to instal and maintain, suggesting that there is an optimum design based on the price tolerance of electricity markets. In this chapter, a method for the calculation of the optimal size of a battery energy storage system (BESS), linked to utility-scale photovoltaic (PV) capacity, is presented. The method, which is illustrated by its application to the South African national grid (GridSA), uses historical generation/demand data to construct a spreadsheet
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Subramanya Sarma, Saraswathula, and Mallu Rama Prasad Reddy. "Assimilation of sustainable energy resources into the Smart Grid: Current advancements in the realm of information and communication technologies." In ICT for Smart Grid - Recent Advances, New Perspectives, and Applications [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1003724.

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The Smart Grid (SG), an advanced electrical network, has completely altered the electrical power sector. Sustainable energy resources (SERs) are becoming increasingly important, making SG integration of SERs crucial for a more environmentally friendly and economically viable future. The SG utilizes state-of-the-art technologies to supply consistent and economical power. Due to environmental concerns and fossil fuel depletion, solar and wind power have gained in popularity. Renewable sources are progressively integrated into SGs. Intelligent information and communication technology (ICT) has in
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Omori Julio Shigeaki and Reichel Amarildo Geraldo. "Micro Grid Project at Universidade Positivo." In Advances in Transdisciplinary Engineering. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-703-0-196.

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A Micro Grid is a part linked to the electric power system that can operate autonomously (islanded) or in parallel connection in accordance with the convenience and needs of both utilities as the final consumer. The Universidade Positivo developed since 2014 one Microgrid project integrating renewable distributed generation such as Micro Hydraulic Power Plant, Photovoltaic Generation Arrangements, Power Generation Wind and Biotechnological processes. This paper presents the details and initial results of the project that already has solar and wind power and should be completed in 2017 with the
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Honarvar, Ali Reza, and Ashkan Sami. "Improve Home Energy Management System by Extracting Usage Patterns From Power Usage Big Data of Homes' Appliances." In Advances in Computer and Electrical Engineering. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5384-7.ch007.

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Many researchers have focused on the reduction of electricity usage in residences because it is a significant contributor of CO2 and greenhouse gases emissions. However, electricity conservation is a tedious task for residential users due to the lack of detailed electricity usage. Home energy management systems (HEMS) are schedulers that schedule and shift demands to improve the energy consumption on behalf of a consumer based on demand response. In this chapter, valuable sequence patterns from real appliances' usage datasets are extracted in peak time and off-peak time of weekdays and weekend
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Molla, Tesfahun. "Smart Home Energy Management System." In Research Anthology on Smart Grid and Microgrid Development. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3666-0.ch051.

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With the development of smart grid technology, residents can schedule their power consumption pattern in their home to minimize electricity expense, reducing peak-to-average ratio (PAR) and peak load demand. The two-way flow of information between electric utilities and consumers in smart grid opened new areas of applications. In this chapter, the general architectures of the home energy management systems (HEMS) are introduced in a home area network (HAN) based on the smart grid scenario. Efficient scheduling methods for home power usage are discussed. The energy management controller (EMC) r
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Molla, Tesfahun. "Smart Home Energy Management System." In Handbook of Research on New Solutions and Technologies in Electrical Distribution Networks. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1230-2.ch011.

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With the development of smart grid technology, residents can schedule their power consumption pattern in their home to minimize electricity expense, reducing peak-to-average ratio (PAR) and peak load demand. The two-way flow of information between electric utilities and consumers in smart grid opened new areas of applications. In this chapter, the general architectures of the home energy management systems (HEMS) are introduced in a home area network (HAN) based on the smart grid scenario. Efficient scheduling methods for home power usage are discussed. The energy management controller (EMC) r
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Konferenzberichte zum Thema "Variable peak electricity time"

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Miyao, Difei, and Masaki Nakamura. "Time and Day-Based Peak Electricity Demand Forecasting: A Comparative Analysis of Machine Learning Models for Peak Cut and Decarbonization." In 2024 13th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE, 2024. https://doi.org/10.1109/icrera62673.2024.10815184.

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Wang, Yacan, Shuchen Liu, Xu Wei, Chengjie Wang, Xuesong Li, and Xiao Huang. "Effects of Time-of-Use Pricing on Peak and Off-Peak Electricity Use: An Empirical Study Based on Microlevel Data." In 2024 8th International Conference on Power and Energy Engineering (ICPEE). IEEE, 2024. https://doi.org/10.1109/icpee64457.2024.10949951.

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Kanchanakorn, Saharat, Monyneath ROS, Amulya Bhattarai, and Ushik Shrestha Khwakhali. "Optimization of Electricity Consumption via Peak Time Reallocation: MATLAB Simulation and Arduino based Lab Implementation." In 2024 9th International STEM Education Conference (iSTEM-Ed). IEEE, 2024. http://dx.doi.org/10.1109/istem-ed62750.2024.10663093.

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Du, Yang, SiMing Wu, ZhongGuang Yang, LingYu Guo, XinJian Wang, and CiWei Gao. "Considering the Peak Time Response of Users' Self Provided Power Sources in the Electricity Market." In 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2024. https://doi.org/10.1109/appeec61255.2024.10922299.

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Gosselin, Daniel, and Daniel Feszty. "Numerical Investigation of the Effect of Shock-Induced Flow Separation on Dynamic Stall in Time-Varying Freestream Conditions." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11382.

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Dynamic stall on an oscillatory pitching NACA 0012 airfoil was simulated via CFD under time-varying freestream conditions, which are representative of fast forward flight for a helicopter and which lead to transonic effects at the minimum of the pitch angle. The selected flow conditions were representative of a helicopter blade section at around 80% of the blade radius at the extreme of the forward flight speed, i.e. at around Mach 0.3. A sinusoidal pitch angle variation of 15° ± 10° and an out-of-phase sinusoidal freestream variation of Mach 0.48 ± 0.3 were applied at a mean reduced frequency
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Forsberg, Charles, Daniel Stack, and Patrick McDaniel. "Nuclear Air-Brayton Combined Cycles Using Electrically-Heated Conductive Firebrick Heat Storage and Hydrogen for Peak Power." In 2021 28th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/icone28-64638.

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Abstract A low-carbon world needs a replacement for the combined-cycle gas turbine to provide variable heat and electricity. We describe a nuclear combined cycle gas turbine (NACC) with a thermodynamic topping cycle where the high-temperature heat is provided by an electrically-heated thermal energy storage system or hydrogen. During base-load operations the NACC compressed air is heated up to 700°C with heat from a high-temperature nuclear reactor to produce electricity. At times of low electricity prices, electricity from the NACC and the grid is converted into high-temperature stored heat i
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Bandyopadhyay, Arkasama, Julia P. Conger, Emily A. Beagle, Michael E. Webber, and Benjamin D. Leibowicz. "Energetic and Economic Potential for Load Control for Residential Customers in Austin, TX." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23114.

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Abstract This study uses a linear optimization framework to evaluate the effect of different demand response (DR)/load control mechanisms on reduction in peak load and energy consumption from the electricity grid in a home with four major controllable appliances — HVAC (heating, ventilation, and air-conditioning) systems, electric water heaters (EWHs), electric vehicles (EVs), and pool pumps (PPs). Two incentive-based DR methods and four price-based DR schemes — real time pricing (RTP), time-of-use (TOU) rates, critical peak prices (CPP), and variable peak prices (VPP) — are analyzed. Load red
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Halford, C. K., and R. F. Boehm. "Modeling of Phase Change Material Peak Load Shifting." In ASME 2005 International Solar Energy Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/isec2005-76035.

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Peak demand for electricity in many parts of the country, and particularly the desert southwest, is of critical concern to utilities. Any reasonable solutions that can be used for shifting some of the peak demand to off-peak should be seriously considered. For locations with high air conditioning demand, one possibility is to use a phase-change material in the ceiling insulation that may melt during peak demand periods and then be refrozen off peak. The purpose of our work is the development of a numerical model to evaluate the load shifting abilities of this type of approach. The simulation i
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Ma, Zhiwen, Patrick Davenport, and Janna Martinek. "Thermal Energy Storage Using Solid Particles for Long-Duration Energy Storage." In ASME 2020 14th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/es2020-1693.

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Abstract The rapid growth of renewable energy increases the importance of economically firming the electricity supply from variable solar photovoltaic- and wind-power generators. Energy storage will be the key to manage variability and to bridge the generation gap over time scales of hours or days for high renewable grid integration. The integration of renewable power and storage of excess electricity has several significant and positive impacts including: 1) expanding the renewable energy portion of total electricity generation, 2) improving the peak-load response, and 3) coordinating the ele
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Richards, S., and H. Perez-Blanco. "Mitigating the Variability of Wind and Solar Energy Through Pumped Hydroelectric Storage." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-68121.

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Renewable power production is both variable and difficult to forecast accurately. These facts can make its integration into an electric grid problematic. If an area’s demand for electricity can be met without using renewable generation, the addition of renewable generation would not warrant a further increase in generation capacity. However, to effectively integrate large amounts of additional renewable generation, it is likely that a more flexible generation fleet will be required. One way of increasing a generation fleet’s flexibility is through the adoption of pumped hydroelectric storage (
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Berichte der Organisationen zum Thema "Variable peak electricity time"

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Schittekatte, Tim, Dharik Mallapragada, Paul Joskow, and Richard Schmalensee. Electricity Retail Rate Design in a Decarbonized Economy: An Analysis of Time-Of-Use and Critical Peak Pricing. National Bureau of Economic Research, 2022. http://dx.doi.org/10.3386/w30560.

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Mousavi, Seyedmostafa, Behzad Rismanchi, Stefan Brey, and Lu Aye. Experimental evaluation of PCM embedded radiant chilled ceiling for efficient space cooling. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau609928685.

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Because of climate change, together with rapid urbanisation and continuous population growth, the global demand for space cooling is increasing dramatically. Under a business-as-usual trajectory, there will be a more than threefold rise in the number of in-use air conditioners worldwide by 2050. A radical shift to innovative space cooling technologies is therefore essential, ones that can sustainably meet the growing requirements. Phase change material embedded radiant chilled ceiling, called PCM-RCC, offers an emerging alternative for more sustainable space cooling provision. This system prov
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3

Liu and Nixon. L52305 Probabilistic Analysis of Pipeline Uplift Resistance. Pipeline Research Council International, Inc. (PRCI), 2010. http://dx.doi.org/10.55274/r0000002.

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To investigate the feasibility of probabilistic analyses of the peak uplift resistance in frozen soils by varying parameters that are known to be important for the development of the uplift resistance under the upward movement of a pipe. A buried pipeline will be subjected to a variety of forces, both internal and external, including the interaction of the pipe with the surrounding soil. The soil-pipe interaction in permafrost regions have to account for the behavior of frozen and unfrozen soil, and transitions between the two as the pipeline traverses in a discontinuous permafrost zone. The v
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