Peak-load shaving in smart homes via online scheduling

Giuseppe Tommaso Costanzo; J. Kheir; Guchuan Zhu

doi:10.1109/ISIE.2011.5984354

Peak-load shaving in smart homes via online scheduling

Giuseppe Tommaso Costanzo
, J. Kheir
, Guchuan Zhu

Polytechnique Montreal

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

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Abstract

This paper addresses the problem of load-shaving in Smart Homes in view of improving energy efficiency in Smart Grids. An architecture of home power management systems, allowing the separation of domestic power load control from grid dynamics, is introduced. In this framework, the operation of appliances is modeled as a finite state machine which enables the implementation of online scheduling borrowed from the techniques developed in real-time computing systems. A scheduling algorithm is developed for peak-load shaving and the simulation results confirm the effectiveness and the efficiency of the proposed approach.

Original language	English
Title of host publication	Industrial Electronics
Publisher	IEEE
Publication date	2011
Pages	1347-1352
ISBN (Print)	9781424493104
DOIs	https://doi.org/10.1109/ISIE.2011.5984354
Publication status	Published - 2011
Event	20th International Symposium on Industrial Electronics (ISIE 2011) - Gdansk University of Technology, Gdansk, Poland Duration: 27 Jun 2011 → 30 Jun 2011

Conference

Conference	20th International Symposium on Industrial Electronics (ISIE 2011)
Location	Gdansk University of Technology
Country/Territory	Poland
City	Gdansk
Period	27/06/2011 → 30/06/2011

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Building management systems
Energy conservation
Finite state machines
Scheduling
Smart power grids

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title = "Peak-load shaving in smart homes via online scheduling",

abstract = "This paper addresses the problem of load-shaving in Smart Homes in view of improving energy efficiency in Smart Grids. An architecture of home power management systems, allowing the separation of domestic power load control from grid dynamics, is introduced. In this framework, the operation of appliances is modeled as a finite state machine which enables the implementation of online scheduling borrowed from the techniques developed in real-time computing systems. A scheduling algorithm is developed for peak-load shaving and the simulation results confirm the effectiveness and the efficiency of the proposed approach.",

keywords = "Building management systems, Energy conservation, Finite state machines, Scheduling, Smart power grids",

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language = "English",

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pages = "1347--1352",

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T1 - Peak-load shaving in smart homes via online scheduling

AU - Costanzo, Giuseppe Tommaso

AU - Kheir, J.

AU - Guchuan Zhu, null

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N2 - This paper addresses the problem of load-shaving in Smart Homes in view of improving energy efficiency in Smart Grids. An architecture of home power management systems, allowing the separation of domestic power load control from grid dynamics, is introduced. In this framework, the operation of appliances is modeled as a finite state machine which enables the implementation of online scheduling borrowed from the techniques developed in real-time computing systems. A scheduling algorithm is developed for peak-load shaving and the simulation results confirm the effectiveness and the efficiency of the proposed approach.

AB - This paper addresses the problem of load-shaving in Smart Homes in view of improving energy efficiency in Smart Grids. An architecture of home power management systems, allowing the separation of domestic power load control from grid dynamics, is introduced. In this framework, the operation of appliances is modeled as a finite state machine which enables the implementation of online scheduling borrowed from the techniques developed in real-time computing systems. A scheduling algorithm is developed for peak-load shaving and the simulation results confirm the effectiveness and the efficiency of the proposed approach.

KW - Building management systems

KW - Energy conservation

KW - Finite state machines

KW - Scheduling

KW - Smart power grids

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DO - 10.1109/ISIE.2011.5984354

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PB - IEEE

T2 - 20th International Symposium on Industrial Electronics (ISIE 2011)

Y2 - 27 June 2011 through 30 June 2011

ER -

Peak-load shaving in smart homes via online scheduling

Abstract

Conference

UN SDGs

Keywords

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