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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

16 Citations (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.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018
Number of pages	7
Publisher	IEEE
Publication date	Feb 2018
Pages	1219-1225
ISBN (Electronic)	978-1-5090-5949-2
DOIs	https://doi.org/10.1109/ICIT.2018.8352352
Publication status	Published - Feb 2018
Event	19th IEEE International Conference on Industrial Technology (ICIT 2018) - Lyon, France Duration: 20 Feb 2018 → 22 Feb 2018

Conference

Conference	19th IEEE International Conference on Industrial Technology (ICIT 2018)
Country/Territory	France
City	Lyon
Period	20/02/2018 → 22/02/2018

Keywords

Smart home
Stochastic Energy Scheduling
Uncertainties
Plug-in Electrical Vehicle
Photovoltaic Array
Heat Pump

Access to Document

10.1109/ICIT.2018.8352352

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

Cite this

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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,

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language = "English",

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

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Yousefi, M, Hajizadeh, A & N. Soltani, M 2018, Energy Management strategies for Smart Home Regarding Uncertainties: State of the art, Trends, and Challenges. in Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018. IEEE, pp. 1219-1225, 19th IEEE International Conference on Industrial Technology (ICIT 2018), Lyon, France, 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. p. 1219-1225.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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

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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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DO - 10.1109/ICIT.2018.8352352

M3 - Article in proceeding

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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

Conference

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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

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

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

Cite this

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

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

Research output

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

Datasets

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

Cite this