A data-driven methodology for heating optimization in smart buildings

Victoria Moreno; José Antonio Ferrer; José Alberto Díaz; Domingo Bravo; Victor Chang

doi:10.5220/0006231200190029

A data-driven methodology for heating optimization in smart buildings

Victoria Moreno
, José Antonio Ferrer
, José Alberto Díaz
, Domingo Bravo
, Victor Chang

International Business School Suzhou

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

1 Citation (Scopus)

Abstract

In the paradigm of Internet of Things new applications that leverage ubiquitous connectivity enable -Together with Big Data Analytics -The emergence of Smart City initiatives. This paper proposes to build a closed loop data modeling methodology in order to optimize energy consumption in a fundamental smart city scenario: smart buildings. This methodology is based on the fusion of information about relevant parameters affecting energy consumption in buildings, and the application of recommended big data techniques in order to improve knowledge acquisition for better decision making and ensure energy efficiency. Experiments carried out in different buildings demonstrate the suitability of the proposed methodology.

Original language	English
Title of host publication	IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security
Editors	Muthu Ramachandran, Victor Mendez Munoz, Verena Kantere, Gary Wills, Robert Walters, Victor Chang
Publisher	SciTePress
Pages	19-29
Number of pages	11
ISBN (Electronic)	9789897582455
DOIs	https://doi.org/10.5220/0006231200190029
Publication status	Published - 2017
Event	2nd International Conference on Internet of Things, Big Data and Security, IoTBDS 2017 - Porto, Portugal Duration: 24 Apr 2017 → 26 Apr 2017

Publication series

Name	IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security

Conference

Conference	2nd International Conference on Internet of Things, Big Data and Security, IoTBDS 2017
Country/Territory	Portugal
City	Porto
Period	24/04/17 → 26/04/17

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

Big data
Data modeling
Energy consumption
Optimization
Smart buildings

Access to Document

10.5220/0006231200190029

Cite this

Moreno, V., Ferrer, J. A., Díaz, J. A., Bravo, D., & Chang, V. (2017). A data-driven methodology for heating optimization in smart buildings. In M. Ramachandran, V. M. Munoz, V. Kantere, G. Wills, R. Walters, & V. Chang (Eds.), IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security (pp. 19-29). (IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security). SciTePress. https://doi.org/10.5220/0006231200190029

Moreno, Victoria ; Ferrer, José Antonio ; Díaz, José Alberto et al. / A data-driven methodology for heating optimization in smart buildings. IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security. editor / Muthu Ramachandran ; Victor Mendez Munoz ; Verena Kantere ; Gary Wills ; Robert Walters ; Victor Chang. SciTePress, 2017. pp. 19-29 (IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security).

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title = "A data-driven methodology for heating optimization in smart buildings",

abstract = "In the paradigm of Internet of Things new applications that leverage ubiquitous connectivity enable -Together with Big Data Analytics -The emergence of Smart City initiatives. This paper proposes to build a closed loop data modeling methodology in order to optimize energy consumption in a fundamental smart city scenario: smart buildings. This methodology is based on the fusion of information about relevant parameters affecting energy consumption in buildings, and the application of recommended big data techniques in order to improve knowledge acquisition for better decision making and ensure energy efficiency. Experiments carried out in different buildings demonstrate the suitability of the proposed methodology.",

keywords = "Big data, Data modeling, Energy consumption, Optimization, Smart buildings",

author = "Victoria Moreno and Ferrer, \{Jos{\'e} Antonio\} and D{\'i}az, \{Jos{\'e} Alberto\} and Domingo Bravo and Victor Chang",

note = "Publisher Copyright: Copyright {\textcopyright} 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 2nd International Conference on Internet of Things, Big Data and Security, IoTBDS 2017 ; Conference date: 24-04-2017 Through 26-04-2017",

year = "2017",

doi = "10.5220/0006231200190029",

language = "English",

series = "IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security",

publisher = "SciTePress",

pages = "19--29",

editor = "Muthu Ramachandran and Munoz, \{Victor Mendez\} and Verena Kantere and Gary Wills and Robert Walters and Victor Chang",

booktitle = "IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security",

}

Moreno, V, Ferrer, JA, Díaz, JA, Bravo, D & Chang, V 2017, A data-driven methodology for heating optimization in smart buildings. in M Ramachandran, VM Munoz, V Kantere, G Wills, R Walters & V Chang (eds), IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security. IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, SciTePress, pp. 19-29, 2nd International Conference on Internet of Things, Big Data and Security, IoTBDS 2017, Porto, Portugal, 24/04/17. https://doi.org/10.5220/0006231200190029

A data-driven methodology for heating optimization in smart buildings. / Moreno, Victoria; Ferrer, José Antonio; Díaz, José Alberto et al.
IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security. ed. / Muthu Ramachandran; Victor Mendez Munoz; Verena Kantere; Gary Wills; Robert Walters; Victor Chang. SciTePress, 2017. p. 19-29 (IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security).

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

TY - GEN

T1 - A data-driven methodology for heating optimization in smart buildings

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AU - Díaz, José Alberto

AU - Bravo, Domingo

AU - Chang, Victor

PY - 2017

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N2 - In the paradigm of Internet of Things new applications that leverage ubiquitous connectivity enable -Together with Big Data Analytics -The emergence of Smart City initiatives. This paper proposes to build a closed loop data modeling methodology in order to optimize energy consumption in a fundamental smart city scenario: smart buildings. This methodology is based on the fusion of information about relevant parameters affecting energy consumption in buildings, and the application of recommended big data techniques in order to improve knowledge acquisition for better decision making and ensure energy efficiency. Experiments carried out in different buildings demonstrate the suitability of the proposed methodology.

AB - In the paradigm of Internet of Things new applications that leverage ubiquitous connectivity enable -Together with Big Data Analytics -The emergence of Smart City initiatives. This paper proposes to build a closed loop data modeling methodology in order to optimize energy consumption in a fundamental smart city scenario: smart buildings. This methodology is based on the fusion of information about relevant parameters affecting energy consumption in buildings, and the application of recommended big data techniques in order to improve knowledge acquisition for better decision making and ensure energy efficiency. Experiments carried out in different buildings demonstrate the suitability of the proposed methodology.

KW - Big data

KW - Data modeling

KW - Energy consumption

KW - Optimization

KW - Smart buildings

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U2 - 10.5220/0006231200190029

DO - 10.5220/0006231200190029

M3 - Conference Proceeding

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BT - IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security

A2 - Ramachandran, Muthu

A2 - Munoz, Victor Mendez

A2 - Kantere, Verena

A2 - Wills, Gary

A2 - Walters, Robert

A2 - Chang, Victor

PB - SciTePress

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Y2 - 24 April 2017 through 26 April 2017

ER -

Moreno V, Ferrer JA, Díaz JA, Bravo D, Chang V. A data-driven methodology for heating optimization in smart buildings. In Ramachandran M, Munoz VM, Kantere V, Wills G, Walters R, Chang V, editors, IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security. SciTePress. 2017. p. 19-29. (IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security). doi: 10.5220/0006231200190029

A data-driven methodology for heating optimization in smart buildings

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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