Results 41 to 50 of about 1,206,124 (263)

Harnessing Flexible and Reliable Demand Response Under Customer Uncertainties

open access: yes, 2017
Demand response (DR) is a cost-effective and environmentally friendly approach for mitigating the uncertainties in renewable energy integration by taking advantage of the flexibility of customers' demands. However, existing DR programs suffer from either
Comden, Joshua, Liu, Zhenhua, Zhao, Yue
core   +1 more source

Improved Generative Adversarial Behavioral Learning Method for Demand Response and Its Application in Hourly Electricity Price Optimization

open access: yesJournal of Modern Power Systems and Clean Energy, 2022
In response to the imbalance between power generation and demand, demand response (DR) projects are vigorously promoted. However, customers' DR behaviors are still difficult to be simulated accurately and objectively.
Junhao Lin, Yan Zhang, Shuangdie Xu
doaj   +1 more source

A truthful incentive mechanism for emergency demand response in colocation data centers [PDF]

open access: yes, 2015
Data centers are key participants in demand response programs, including emergency demand response (EDR), where the grid coordinates large electricity consumers for demand reduction in emergency situations to prevent major economic losses. While existing
Li, Z, Ren, S, Wu, C, Zhang, L
core   +1 more source

Residential electricity demand on CAISO Flex Alert days: a case study of voluntary emergency demand response programs

open access: yesEnvironmental Research: Energy, 2023
The California Independent System Operator (CAISO) utilizes a system-wide, voluntary demand response (DR) tool, called the Flex Alert program, designed to reduce energy usage during peak hours, particularly on hot summer afternoons when surges in ...
McKenna Peplinski, Kelly T Sanders
doaj   +1 more source

Energy use in residential buildings: Impact of building automation control systems on energy performance and flexibility [PDF]

open access: yes, 2019
This work shows the results of a research activity aimed at characterizing the energy habits of Italian residential users. In detail, by the energy simulation of a buildings sample, the opportunity to implement a demand/response program (DR) has been ...
DE SANTOLI, Livio   +2 more
core   +1 more source

Blockchain-Enabled Demand Response Scheme with Individualized Incentive Pricing Mode

open access: yesEnergies, 2020
Demand response (DR) can offer a wide range of advantages for electrical systems by facilitating the interaction and balance between supply and demand. However, DR always requires a central agent, giving rise to issues of security and trust. Besides this,
Zishan Guo, Zhenya Ji, Qi Wang
doaj   +1 more source

Capturing Aggregate Flexibility in Demand Response

open access: yes, 2014
Flexibility in electric power consumption can be leveraged by Demand Response (DR) programs. The goal of this paper is to systematically capture the inherent aggregate flexibility of a population of appliances.
Alizadeh, Mahnoosh   +3 more
core   +1 more source

Increasing the Benefit from Cost-Minimizing Loads via Centralized Adjustments

open access: yesEnergies, 2016
Several demand response (DR) strategies rely on real-time pricing and selfish local optimization, which may not result in optimal electricity consumption patterns from the viewpoint of an energy supplier or a power system.
Antti Alahäivälä, Matti Lehtonen
doaj   +1 more source

Electric Water Heater Modeling, DR Approaches Analysis and Study of Consumer Comfort for Demand Response

open access: yesDREAM-GO 4th Whorshop - Demand response approaches for real-time renewable energy integration, 2019
With the smart energy management system household residential appliances is able to participate in the demand response events. To reduce peak load demand and complexities in the local infrastructure DR can play an important role now a days. This paper presents a study and analysis of several papers on residential EWH DR modeling and implementation.
Ahmed, Faria, Pedro, Vale, Zita
openaire   +2 more sources

BQL-DRS: A Novel Balanced Q-Learning Based Demand Response System for IoT based Smart Grids

open access: yesInternational Journal on Recent and Innovation Trends in Computing and Communication, 2023
The modernization of electricity networks and the integration of renewable energy resources in Internet of Things (IoT) based smart grids have led to increased variability in market prices, necessitating effective demand response (DR) strategies. To address this challenge, this paper proposes a novel Balanced Q-Learning based Demand Response System ...
openaire   +1 more source

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