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Electric power distribution / Demand response / Smart grid / Load management / Load profile / Smart meter / Load / Peak demand / Energy demand management / Electric power / Energy / Electromagnetism


Randomized Load Control: A Simple Distributed Approach for Scheduling Smart Appliances Menkes van den Briel, Paul Scott, Sylvie Thi´ebaux NICTA and Australian National University Australia {menkes, paul.scott, sylvie.th
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Document Date: 2014-04-30 02:03:23


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File Size: 480,50 KB

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Company

Future Energy Systems / Multiagent Systems / /

Country

Australia / /

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Facility

Australian National University / /

IndustryTerm

power systems simulation software / overall network / customer friendly solutions / electricity / energy consumption / electricity load profile / renewable energy generation / interoperable automated demand response infrastructure / real-time electricity pricing environments / demand-side management / electricity network capacity / smart home technologies / large networks / energy management system / electricity demand / energy consumption profile / less energy / energy use / Online Proceedings / renewable energy / Load management / grid network / gametheoretic energy consumption scheduling / low-energy wash cycle / energy / water filling algorithm / looking into using comprehensive power systems simulation software / /

Organization

National Science Foundation / ICT Centre of Excellence / Thi´ebaux NICTA and Australian National University Australia / Australian Government / NICTA / Australian Research Council / Department of Broadband / Communications and the Digital Economy / /

Person

Paul Scott / A.H. Mohsenian-Rad / V / Sylvie Thi´ebaux / /

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Position

Governor / central scheduler / representative / centralized scheduler / dishwasher / /

ProvinceOrState

Pennsylvania / New South Wales / New / /

Region

South Wales / /

Technology

smart home technologies / Broadband / water filling algorithm / simulation / /

URL

http /

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