Energy Management strategies for Smart Home Regarding Uncertainties: State of the art, Trends, and Challenges

Mojtaba Yousefi; Amin Hajizadeh; Mohsen N. Soltani

doi:10.1109/ICIT.2018.8352352

Energy Management strategies for Smart Home Regarding Uncertainties: State of the art, Trends, and Challenges

Mojtaba Yousefi, Amin Hajizadeh, Mohsen N. Soltani

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

17 Citationer (Scopus)

Abstract

The advent of Smart grid and high-energy demand for electricity has provided new opportunities for energy management systems (EMSs) in a smart home (SH). Energy management strategies play a key role in performance and economy of smart homes integrating renewable energy resources, Heat Pumps (HP), and Plug-in Electrical Vehicle (PEV) energy storages. This paper presents a critical review and analysis of different energy management strategies for SH to handle the uncertainties involved in renewable energy resources, home load demands, PEV charging requirements, and household comfort. In addition, the present paper provides a comprehensive study of work on EMS, with a focus on stochastic modeling approaches and their effect on SH operations and outcomes. This review of different stochastic energy management strategies will be entirely helpful for SH development.

Originalsprog	Engelsk
Titel	Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018
Antal sider	7
Forlag	IEEE
Publikationsdato	feb. 2018
Sider	1219-1225
ISBN (Elektronisk)	978-1-5090-5949-2
DOI	https://doi.org/10.1109/ICIT.2018.8352352
Status	Udgivet - feb. 2018
Begivenhed	19th IEEE International Conference on Industrial Technology (ICIT 2018) - Lyon, Frankrig Varighed: 20 feb. 2018 → 22 feb. 2018

Konference

Konference	19th IEEE International Conference on Industrial Technology (ICIT 2018)
Land/Område	Frankrig
By	Lyon
Periode	20/02/2018 → 22/02/2018

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10.1109/ICIT.2018.8352352

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8352352

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1 Afsluttet

Energy management in a "smart home" with integrated solar cells, electric vehicles and heat pumps - Energistyring i et ”smart home” med integrerede solceller, elbiler og varmepumper
Hajizadeh, A. & N. Soltani, M.
ELFORSK
05/02/2018 → 01/09/2020
Projekter: Projekt › Forskning

17 Citationer
1 Ph.d.-afhandling

Energy Management System for Smart Homes: Modeling, Control, Performance and Profit Assessment
Yousefi, M., 2020, Aalborg Universitetsforlag. 61 s.
Publikation: Ph.d.-afhandling

Åben adgang
Fil

Wind-Solar Measurement Database for Renewable Energy Control Laboratory at Aalborg University Esbjerg
Kristoffersen, K. C. (Ophavsperson), N. Soltani, M. (Ophavsperson), Hajizadeh, A. (Ophavsperson), Bjørn, P. (Ophavsperson) & Enevoldsen, H. (Ophavsperson), Aalborg University, 26 sep. 2019
Datasæt

Fil

Citationsformater

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title = "Energy Management strategies for Smart Home Regarding Uncertainties: State of the art, Trends, and Challenges",

abstract = "The advent of Smart grid and high-energy demand for electricity has provided new opportunities for energy management systems (EMSs) in a smart home (SH). Energy management strategies play a key role in performance and economy of smart homes integrating renewable energy resources, Heat Pumps (HP), and Plug-in Electrical Vehicle (PEV) energy storages. This paper presents a critical review and analysis of different energy management strategies for SH to handle the uncertainties involved in renewable energy resources, home load demands, PEV charging requirements, and household comfort. In addition, the present paper provides a comprehensive study of work on EMS, with a focus on stochastic modeling approaches and their effect on SH operations and outcomes. This review of different stochastic energy management strategies will be entirely helpful for SH development.",

keywords = "Smart home, Stochastic Energy Scheduling, Uncertainties, Plug-in Electrical Vehicle, Photovoltaic Array, Heat Pump",

author = "Mojtaba Yousefi and Amin Hajizadeh and {N. Soltani}, Mohsen",

year = "2018",

month = feb,

doi = "10.1109/ICIT.2018.8352352",

language = "English",

pages = "1219--1225",

booktitle = "Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018",

publisher = "IEEE",

address = "United States",

note = "19th IEEE International Conference on Industrial Technology (ICIT 2018) ; Conference date: 20-02-2018 Through 22-02-2018",

}

Yousefi, M, Hajizadeh, A & N. Soltani, M 2018, Energy Management strategies for Smart Home Regarding Uncertainties: State of the art, Trends, and Challenges. i Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018. IEEE, s. 1219-1225, 19th IEEE International Conference on Industrial Technology (ICIT 2018), Lyon, Frankrig, 20/02/2018. https://doi.org/10.1109/ICIT.2018.8352352

Energy Management strategies for Smart Home Regarding Uncertainties: State of the art, Trends, and Challenges. / Yousefi, Mojtaba; Hajizadeh, Amin ; N. Soltani, Mohsen.
Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018. IEEE, 2018. s. 1219-1225.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Energy Management strategies for Smart Home Regarding Uncertainties

T2 - 19th IEEE International Conference on Industrial Technology (ICIT 2018)

AU - Yousefi, Mojtaba

AU - Hajizadeh, Amin

AU - N. Soltani, Mohsen

PY - 2018/2

Y1 - 2018/2

N2 - The advent of Smart grid and high-energy demand for electricity has provided new opportunities for energy management systems (EMSs) in a smart home (SH). Energy management strategies play a key role in performance and economy of smart homes integrating renewable energy resources, Heat Pumps (HP), and Plug-in Electrical Vehicle (PEV) energy storages. This paper presents a critical review and analysis of different energy management strategies for SH to handle the uncertainties involved in renewable energy resources, home load demands, PEV charging requirements, and household comfort. In addition, the present paper provides a comprehensive study of work on EMS, with a focus on stochastic modeling approaches and their effect on SH operations and outcomes. This review of different stochastic energy management strategies will be entirely helpful for SH development.

AB - The advent of Smart grid and high-energy demand for electricity has provided new opportunities for energy management systems (EMSs) in a smart home (SH). Energy management strategies play a key role in performance and economy of smart homes integrating renewable energy resources, Heat Pumps (HP), and Plug-in Electrical Vehicle (PEV) energy storages. This paper presents a critical review and analysis of different energy management strategies for SH to handle the uncertainties involved in renewable energy resources, home load demands, PEV charging requirements, and household comfort. In addition, the present paper provides a comprehensive study of work on EMS, with a focus on stochastic modeling approaches and their effect on SH operations and outcomes. This review of different stochastic energy management strategies will be entirely helpful for SH development.

KW - Smart home

KW - Stochastic Energy Scheduling

KW - Uncertainties

KW - Plug-in Electrical Vehicle

KW - Photovoltaic Array

KW - Heat Pump

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U2 - 10.1109/ICIT.2018.8352352

DO - 10.1109/ICIT.2018.8352352

M3 - Article in proceeding

SP - 1219

EP - 1225

BT - Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018

PB - IEEE

Y2 - 20 February 2018 through 22 February 2018

ER -

Energy Management strategies for Smart Home Regarding Uncertainties: State of the art, Trends, and Challenges

Abstract

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Fingeraftryk

Projekter

Energy management in a "smart home" with integrated solar cells, electric vehicles and heat pumps - Energistyring i et ”smart home” med integrerede solceller, elbiler og varmepumper

Publikation

Energy Management System for Smart Homes: Modeling, Control, Performance and Profit Assessment

Forskningsdatasæt

Wind-Solar Measurement Database for Renewable Energy Control Laboratory at Aalborg University Esbjerg

Citationsformater