The University of Southampton
University of Southampton Institutional Repository

Minimizing commercial building cost in smart grid: an optimal meeting scheduling approach

Minimizing commercial building cost in smart grid: an optimal meeting scheduling approach
Minimizing commercial building cost in smart grid: an optimal meeting scheduling approach
We develop a mathematical programming approach to schedule meetings in an organization over a fixed period of time, while minimizing the wasted energy and possibly achieving more balanced demand distribution. The problem is formulated as a mixed integer linear program subject to a set of realistic constraints including people's available time slots and energy consumption characteristics of the meeting rooms. Two objective functions are considered: minimizing the total energy used and minimizing the total energy cost. Our simulations illustrate that using the optimal schedule may result in significant savings, both economical and environmental.
smart grid, demand response, meeting scheduling, mixed integer linear programming
764-769
Chai, Bo
73471899-adc0-497e-9800-ccdb9997d835
Costa, Alberto
ac5384d9-ab67-477b-8685-5cbd00338a10
Ahipasaoglu, Selin Damla
d69f1b80-5c05-4d50-82df-c13b87b02687
Huang, Shisheng
533b1b84-b232-439f-9c43-7286873a71d4
Yuen, Chau
7e52040d-8f3a-4fe6-a834-e4ada2b1c8a7
Yang, Zaiyue
b56c7513-691d-4d6e-9c10-235412d8e101
Chai, Bo
73471899-adc0-497e-9800-ccdb9997d835
Costa, Alberto
ac5384d9-ab67-477b-8685-5cbd00338a10
Ahipasaoglu, Selin Damla
d69f1b80-5c05-4d50-82df-c13b87b02687
Huang, Shisheng
533b1b84-b232-439f-9c43-7286873a71d4
Yuen, Chau
7e52040d-8f3a-4fe6-a834-e4ada2b1c8a7
Yang, Zaiyue
b56c7513-691d-4d6e-9c10-235412d8e101

Chai, Bo, Costa, Alberto, Ahipasaoglu, Selin Damla, Huang, Shisheng, Yuen, Chau and Yang, Zaiyue (2014) Minimizing commercial building cost in smart grid: an optimal meeting scheduling approach. 2014 IEEE International Conference on Smart Grid Communications, , Venice, Italy. 27 Oct - 06 Nov 2014. pp. 764-769 . (doi:10.1109/SmartGridComm.2014.7007740).

Record type: Conference or Workshop Item (Paper)

Abstract

We develop a mathematical programming approach to schedule meetings in an organization over a fixed period of time, while minimizing the wasted energy and possibly achieving more balanced demand distribution. The problem is formulated as a mixed integer linear program subject to a set of realistic constraints including people's available time slots and energy consumption characteristics of the meeting rooms. Two objective functions are considered: minimizing the total energy used and minimizing the total energy cost. Our simulations illustrate that using the optimal schedule may result in significant savings, both economical and environmental.

This record has no associated files available for download.

More information

Published date: 3 November 2014
Venue - Dates: 2014 IEEE International Conference on Smart Grid Communications, , Venice, Italy, 2014-10-27 - 2014-11-06
Keywords: smart grid, demand response, meeting scheduling, mixed integer linear programming

Identifiers

Local EPrints ID: 443173
URI: http://eprints.soton.ac.uk/id/eprint/443173
PURE UUID: 5ef945e4-f19b-4561-9c99-84025c306f51
ORCID for Selin Damla Ahipasaoglu: ORCID iD orcid.org/0000-0003-1371-315X

Catalogue record

Date deposited: 13 Aug 2020 16:37
Last modified: 17 Mar 2024 04:03

Export record

Altmetrics

Contributors

Author: Bo Chai
Author: Alberto Costa
Author: Shisheng Huang
Author: Chau Yuen
Author: Zaiyue Yang

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×