Automation of residential load in power distribution systems with focus on demand response-Reference-Cited by-同舟云学术

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Automation of residential load in power distribution systems with focus on demand response

Published:2013-04 Issue:4 Volume:7 Page:357-365
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Deese Anthony S.¹,Carrigan Brian¹,Stein Elliot¹,Klein Elie¹

Affiliation:

1. The College of New Jersey (TCNJ)2000 Pennington RoadEwingNJ08628USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2012.0145

Reference21 articles.

1. Demand Response and Distribution Grid Operations: Opportunities and Challenges

2. Demand Response as a Market Resource Under the Smart Grid Paradigm

3. Real-Time Demand Response Model

4. Home automation – it's no place like home;Sangani K.;IET J. Eng. Technol.,2006

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1. ZigBee wireless smart plug network with RSSI multi‐lateration‐based proximity estimation and parallelised machine learning capabilities for demand response;IET Wireless Sensor Systems;2020-12

2. Intelligent approach for residential load scheduling;IET Generation, Transmission & Distribution;2020-09-11

3. Application of ZigBee-Based Internet of Things Technology to Demand Response in Smart Grids;IFAC-PapersOnLine;2018

4. Optimal Demand Response Scheduling With Real-Time Thermal Ratings of Overhead Lines for Improved Network Reliability;IEEE Transactions on Smart Grid;2017-11

5. Model predictive control‐based operation management for a residential microgrid with considering forecast uncertainties and demand response strategies;IET Generation, Transmission & Distribution;2016-07

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