Effective energy consumption scheduling in smart homes

O. M. Longe; K. Ouahada; S. Rimer; H. Zhu; H. C. Ferreira

doi:10.1109/AFRCON.2015.7331917

Effective energy consumption scheduling in smart homes

O. M. Longe
, K. Ouahada
, S. Rimer
, H. Zhu
, H. C. Ferreira

Electrical and Electronic Engineering Science

University of Johannesburg

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

14 Citations (Scopus)

Abstract

Monthly expenditure on electricity by most households in South Africa take beyond acceptable percentage of their income. In order to keep the household energy expenditure below the energy poverty threshold, a daily electricity optimization problem is formulated using mixed integer linear programming (MILP) method. The energy optimization scheduling was carried out by a device called the Daily Maximum Energy Scheduling (DMES) device proposed to be incorporated into smart meters of households. The DMES algorithm was tested with household data set and was shown to be capable of ensuring that households spend less than 10% of their income on electricity bill monthly. This technique therefore, would be beneficial to consumers (for better financial savings and planning), utility (for effective energy and financial savings, and energy network planning) and cleaner environments as proposed for smart grid. Also, number of households in the nation living below the energy expenditure-based poverty threshold would increase.

Original language	English
Title of host publication	Proceeding of the 2015 12th IEEE AFRICON International Conference
Subtitle of host publication	Green Innovation for African Renaissance
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479974986
DOIs	https://doi.org/10.1109/AFRCON.2015.7331917
Publication status	Published - 18 Nov 2015
Event	12th IEEE AFRICON International Conference, AFRICON 2015 - Addis Ababa, Ethiopia Duration: 14 Sept 2015 → 17 Sept 2015

Publication series

Name	IEEE AFRICON Conference
Volume	2015-November
ISSN (Print)	2153-0025
ISSN (Electronic)	2153-0033

Conference

Conference	12th IEEE AFRICON International Conference, AFRICON 2015
Country/Territory	Ethiopia
City	Addis Ababa
Period	14/09/15 → 17/09/15

UN SDGs

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

SDG 1 No Poverty

Keywords

Daily Maximum Energy Scheduling (DMES)
Smart meter
electricity consumption
low-income households
smart home appliances

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/AFRCON.2015.7331917

Cite this

Longe, O. M., Ouahada, K., Rimer, S., Zhu, H., & Ferreira, H. C. (2015). Effective energy consumption scheduling in smart homes. In Proceeding of the 2015 12th IEEE AFRICON International Conference: Green Innovation for African Renaissance Article 7331917 (IEEE AFRICON Conference; Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AFRCON.2015.7331917

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title = "Effective energy consumption scheduling in smart homes",

abstract = "Monthly expenditure on electricity by most households in South Africa take beyond acceptable percentage of their income. In order to keep the household energy expenditure below the energy poverty threshold, a daily electricity optimization problem is formulated using mixed integer linear programming (MILP) method. The energy optimization scheduling was carried out by a device called the Daily Maximum Energy Scheduling (DMES) device proposed to be incorporated into smart meters of households. The DMES algorithm was tested with household data set and was shown to be capable of ensuring that households spend less than 10\% of their income on electricity bill monthly. This technique therefore, would be beneficial to consumers (for better financial savings and planning), utility (for effective energy and financial savings, and energy network planning) and cleaner environments as proposed for smart grid. Also, number of households in the nation living below the energy expenditure-based poverty threshold would increase.",

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Longe, OM , Ouahada, K , Rimer, S, Zhu, H & Ferreira, HC 2015, Effective energy consumption scheduling in smart homes. in Proceeding of the 2015 12th IEEE AFRICON International Conference: Green Innovation for African Renaissance., 7331917, IEEE AFRICON Conference, vol. 2015-November, Institute of Electrical and Electronics Engineers Inc., 12th IEEE AFRICON International Conference, AFRICON 2015, Addis Ababa, Ethiopia, 14/09/15. https://doi.org/10.1109/AFRCON.2015.7331917

Effective energy consumption scheduling in smart homes. / Longe, O. M.; Ouahada, K.; Rimer, S. et al.
Proceeding of the 2015 12th IEEE AFRICON International Conference: Green Innovation for African Renaissance. Institute of Electrical and Electronics Engineers Inc., 2015. 7331917 (IEEE AFRICON Conference; Vol. 2015-November).

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

TY - GEN

T1 - Effective energy consumption scheduling in smart homes

AU - Longe, O. M.

AU - Ouahada, K.

AU - Rimer, S.

AU - Zhu, H.

AU - Ferreira, H. C.

PY - 2015/11/18

Y1 - 2015/11/18

N2 - Monthly expenditure on electricity by most households in South Africa take beyond acceptable percentage of their income. In order to keep the household energy expenditure below the energy poverty threshold, a daily electricity optimization problem is formulated using mixed integer linear programming (MILP) method. The energy optimization scheduling was carried out by a device called the Daily Maximum Energy Scheduling (DMES) device proposed to be incorporated into smart meters of households. The DMES algorithm was tested with household data set and was shown to be capable of ensuring that households spend less than 10% of their income on electricity bill monthly. This technique therefore, would be beneficial to consumers (for better financial savings and planning), utility (for effective energy and financial savings, and energy network planning) and cleaner environments as proposed for smart grid. Also, number of households in the nation living below the energy expenditure-based poverty threshold would increase.

AB - Monthly expenditure on electricity by most households in South Africa take beyond acceptable percentage of their income. In order to keep the household energy expenditure below the energy poverty threshold, a daily electricity optimization problem is formulated using mixed integer linear programming (MILP) method. The energy optimization scheduling was carried out by a device called the Daily Maximum Energy Scheduling (DMES) device proposed to be incorporated into smart meters of households. The DMES algorithm was tested with household data set and was shown to be capable of ensuring that households spend less than 10% of their income on electricity bill monthly. This technique therefore, would be beneficial to consumers (for better financial savings and planning), utility (for effective energy and financial savings, and energy network planning) and cleaner environments as proposed for smart grid. Also, number of households in the nation living below the energy expenditure-based poverty threshold would increase.

KW - Daily Maximum Energy Scheduling (DMES)

KW - Smart meter

KW - electricity consumption

KW - low-income households

KW - smart home appliances

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U2 - 10.1109/AFRCON.2015.7331917

DO - 10.1109/AFRCON.2015.7331917

M3 - Conference contribution

AN - SCOPUS:84962606981

T3 - IEEE AFRICON Conference

BT - Proceeding of the 2015 12th IEEE AFRICON International Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th IEEE AFRICON International Conference, AFRICON 2015

Y2 - 14 September 2015 through 17 September 2015

ER -

Effective energy consumption scheduling in smart homes

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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