Natural Aggregation Approach based Home Energy Manage System with User Satisfaction Modelling

F. J. Luo; G. Ranzi; Z. Y. Dong; J. Murata

doi:10.1088/1755-1315/73/1/012005

Natural Aggregation Approach based Home Energy Manage System with User Satisfaction Modelling

F. J. Luo, G. Ranzi, Z. Y. Dong, J. Murata

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

7 Citations (Scopus)

23 Downloads (CityUHK Scholars)

Abstract

With the prevalence of advanced sensing and two-way communication technologies, Home Energy Management System (HEMS) has attracted lots of attentions in recent years. This paper proposes a HEMS that optimally schedules the controllable Residential Energy Resources (RERs) in a Time-of-Use (TOU) pricing and high solar power penetrated environment. The HEMS aims to minimize the overall operational cost of the home, and the user's satisfactions and requirements on the operation of different household appliances are modelled and considered in the HEMS. Further, a new biological self-aggregation intelligence based optimization technique previously proposed by the authors, i.e., Natural Aggregation Algorithm (NAA), is applied to solve the proposed HEMS optimization model. Simulations are conducted to validate the proposed method. © Published under licence by IOP Publishing Ltd.

Original language	English
Article number	012005
Journal	IOP Conference Series: Earth and Environmental Science
Volume	73
Issue number	1
DOIs	https://doi.org/10.1088/1755-1315/73/1/012005
Publication status	Published - 10 Jul 2017
Externally published	Yes
Event	2017 International Conference on Sustainable Energy Engineering, ICSEE 2017 - Perth, Australia Duration: 12 Jun 2017 → 14 Jun 2017

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

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

SDG 7 Affordable and Clean Energy

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This full text is made available under CC-BY 3.0. https://creativecommons.org/licenses/by/3.0/

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abstract = "With the prevalence of advanced sensing and two-way communication technologies, Home Energy Management System (HEMS) has attracted lots of attentions in recent years. This paper proposes a HEMS that optimally schedules the controllable Residential Energy Resources (RERs) in a Time-of-Use (TOU) pricing and high solar power penetrated environment. The HEMS aims to minimize the overall operational cost of the home, and the user's satisfactions and requirements on the operation of different household appliances are modelled and considered in the HEMS. Further, a new biological self-aggregation intelligence based optimization technique previously proposed by the authors, i.e., Natural Aggregation Algorithm (NAA), is applied to solve the proposed HEMS optimization model. Simulations are conducted to validate the proposed method. {\textcopyright} Published under licence by IOP Publishing Ltd.",

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AU - Luo, F. J.

AU - Ranzi, G.

AU - Dong, Z. Y.

AU - Murata, J.

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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N2 - With the prevalence of advanced sensing and two-way communication technologies, Home Energy Management System (HEMS) has attracted lots of attentions in recent years. This paper proposes a HEMS that optimally schedules the controllable Residential Energy Resources (RERs) in a Time-of-Use (TOU) pricing and high solar power penetrated environment. The HEMS aims to minimize the overall operational cost of the home, and the user's satisfactions and requirements on the operation of different household appliances are modelled and considered in the HEMS. Further, a new biological self-aggregation intelligence based optimization technique previously proposed by the authors, i.e., Natural Aggregation Algorithm (NAA), is applied to solve the proposed HEMS optimization model. Simulations are conducted to validate the proposed method. © Published under licence by IOP Publishing Ltd.

AB - With the prevalence of advanced sensing and two-way communication technologies, Home Energy Management System (HEMS) has attracted lots of attentions in recent years. This paper proposes a HEMS that optimally schedules the controllable Residential Energy Resources (RERs) in a Time-of-Use (TOU) pricing and high solar power penetrated environment. The HEMS aims to minimize the overall operational cost of the home, and the user's satisfactions and requirements on the operation of different household appliances are modelled and considered in the HEMS. Further, a new biological self-aggregation intelligence based optimization technique previously proposed by the authors, i.e., Natural Aggregation Algorithm (NAA), is applied to solve the proposed HEMS optimization model. Simulations are conducted to validate the proposed method. © Published under licence by IOP Publishing Ltd.

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DO - 10.1088/1755-1315/73/1/012005

M3 - RGC 21 - Publication in refereed journal

SN - 1755-1307

VL - 73

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

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T2 - 2017 International Conference on Sustainable Energy Engineering, ICSEE 2017

Y2 - 12 June 2017 through 14 June 2017

ER -

Natural Aggregation Approach based Home Energy Manage System with User Satisfaction Modelling

Abstract

Bibliographical note

UN SDGs

Publisher's Copyright Statement

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