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Journal ArticleDOI

Residential Demand Response model and impact on voltage profile and losses of an electric distribution network

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TLDR
In this paper, the authors developed a model for demand response by utilizing consumer behavior modeling considering different scenarios and levels of consumer rationality, which is applied to the IEEE 8500-node test feeder which is a real world large radial distribution network.
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This article is published in Applied Energy.The article was published on 2012-08-01. It has received 172 citations till now. The article focuses on the topics: Demand response & Peak demand.

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Citations
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Journal ArticleDOI

A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms

TL;DR: This paper provides a comprehensive review of various DR schemes and programs, based on the motivations offered to the consumers to participate in the program, and presents various optimization models for the optimal control of the DR strategies that have been proposed so far.
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Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy

TL;DR: In this paper, a sensor-based forecasting model using Support Vector Regression (SVR), a commonly used machine learning technique, was applied to an empirical data-set from a multi-family residential building in Manhattan.
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Reinforcement learning for demand response: A review of algorithms and modeling techniques

TL;DR: In this paper, a review of the use of reinforcement learning for demand response applications in the smart grid is presented, and the authors identify a need to further explore reinforcement learning to coordinate multi-agent systems that can participate in demand response programs under demand-dependent electricity prices.
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A review on price-driven residential demand response

TL;DR: In this paper, the authors provide a review of the PDDR studies and provide detailed evaluations on advantages and disadvantages of each PDDR and discuss the concerns and future research challenges on PDDR.
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Time-of-use based electricity demand response for sustainable manufacturing systems

TL;DR: In this article, the authors proposed a system approach for TOU based electricity demand response for sustainable manufacturing systems under the production target constraint, where the electricity related costs including both consumption and demand are integrated into production system modeling.
References
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Book

Spot Pricing of Electricity

TL;DR: In this paper, the authors present a method to find the most relevant information from Bibliogr. : p. 255-266. Index Reference Record created on 2004-09-07, modified on 2016-08-08
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Factoring the elasticity of demand in electricity prices

TL;DR: In this paper, the effect of the market structure on the elasticity of the demand for electricity is analyzed and the consumers' behavior can be modeled using a matrix of self-and cross-elasticities.
Journal ArticleDOI

Modeling and prioritizing demand response programs in power markets

TL;DR: In this article, an extended responsive load economic model is developed based on price elasticity and customer benefit function, which is used for selecting and prioritizing demand response (DR) programs.
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Volt/Var Control on Distribution Systems with Lateral Branches Using Shunt Capacitors and Voltage Regulators Part I: The Overall Problem

TL;DR: In this article, the problem of volt/var control on general radial distribution systems is formulated, simplified and solved, where the objective is to minimize the peak power and energy losses while keeping the voltage within specified limits under varying load conditions.

Volt/Var Control onDistribution SystemswithLateral Branches UsingShuntCapacitors andVoltage Regulators PartI:TheOverall Problem

TL;DR: In this article, the problem ofvolt/var control on general radial distribution systems is formulated, simplified and solved, where the objective is to minimize the peak power and energy losses while keeping the voltage under specified limits under varying load conditions.
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