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Optimal meeting scheduling in smart commercial building for energy cost reduction

Optimal meeting scheduling in smart commercial building for energy cost reduction
Optimal meeting scheduling in smart commercial building for energy cost reduction
In this paper, we consider the optimal meeting scheduling problem in a commercial building over a fixed period of time, with the objectives of minimizing the cost of energy consumption by the air-conditioning system and possibly achieving more balanced power distribution. By considering a set of realistic factors, including the eligible time slots of attendees and energy consumption characteristics of meeting rooms, this problem is formulated as a constrained mixed-integer linear program, which then can be solved by an optimization solver, e.g., CPLEX. However, because the computation complexity increases dramatically with the problem size, a fast heuristic algorithm is proposed. The numerical simulations verify that the heuristic algorithm produces a near-optimal result.
Smart grid, demand response management, meeting scheduling, mixed-integer linear programming, score ranking
1949-3053
3060-3069
Chai, Bo
73471899-adc0-497e-9800-ccdb9997d835
Costa, Alberto
ac5384d9-ab67-477b-8685-5cbd00338a10
Ahipasaoglu, Selin Damla
d69f1b80-5c05-4d50-82df-c13b87b02687
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
Yuen, Chau
7e52040d-8f3a-4fe6-a834-e4ada2b1c8a7
Yang, Zaiyue
b56c7513-691d-4d6e-9c10-235412d8e101

Chai, Bo, Costa, Alberto, Ahipasaoglu, Selin Damla, Yuen, Chau and Yang, Zaiyue (2018) Optimal meeting scheduling in smart commercial building for energy cost reduction. IEEE Transactions on Smart Grid, 9 (4), 3060-3069. (doi:10.1109/TSG.2016.2625313).

Record type: Article

Abstract

In this paper, we consider the optimal meeting scheduling problem in a commercial building over a fixed period of time, with the objectives of minimizing the cost of energy consumption by the air-conditioning system and possibly achieving more balanced power distribution. By considering a set of realistic factors, including the eligible time slots of attendees and energy consumption characteristics of meeting rooms, this problem is formulated as a constrained mixed-integer linear program, which then can be solved by an optimization solver, e.g., CPLEX. However, because the computation complexity increases dramatically with the problem size, a fast heuristic algorithm is proposed. The numerical simulations verify that the heuristic algorithm produces a near-optimal result.

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More information

Published date: July 2018
Keywords: Smart grid, demand response management, meeting scheduling, mixed-integer linear programming, score ranking

Identifiers

Local EPrints ID: 443195
URI: http://eprints.soton.ac.uk/id/eprint/443195
ISSN: 1949-3053
PURE UUID: 2ce62d55-d256-4f55-87ee-1d397f7d036f
ORCID for Selin Damla Ahipasaoglu: ORCID iD orcid.org/0000-0003-1371-315X

Catalogue record

Date deposited: 13 Aug 2020 16:38
Last modified: 17 Mar 2024 04:03

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Contributors

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

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