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A Data-Driven Methodology for Heating Optimization in Smart Buildings

Topics: Big Data Algorithm, Methodology, Business Models and Challenges; Energy-saving and Green IT Systems or Applications; Modeling, Experiments, Sharing Technologies & Platforms; Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City; Smart City Examples and Case Studies

Authors: Victoria Moreno 1 ; José Antonio Ferrer 2 ; José Alberto Díaz 2 ; Domingo Bravo 2 and Victor Chang 3

Affiliations: 1 Research Institute of Energy and Environment of Heidelberg (ifeu), Germany ; 2 CIEMAT, Spain ; 3 Xi’an Jiaotong Liverpool University, China

Keyword(s): Big Data, Data Modeling, Smart Buildings, Energy Consumption, Optimization.

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.

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Paper citation in several formats:
Moreno, V.; Ferrer, J.; Díaz, J.; Bravo, D. and Chang, V. (2017). A Data-Driven Methodology for Heating Optimization in Smart Buildings. In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-245-5; ISSN 2184-4976, SciTePress, pages 19-29. DOI: 10.5220/0006231200190029

@conference{iotbds17,
author={Victoria Moreno. and José Antonio Ferrer. and José Alberto Díaz. and Domingo Bravo. and Victor Chang.},
title={A Data-Driven Methodology for Heating Optimization in Smart Buildings},
booktitle={Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2017},
pages={19-29},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006231200190029},
isbn={978-989-758-245-5},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - A Data-Driven Methodology for Heating Optimization in Smart Buildings
SN - 978-989-758-245-5
IS - 2184-4976
AU - Moreno, V.
AU - Ferrer, J.
AU - Díaz, J.
AU - Bravo, D.
AU - Chang, V.
PY - 2017
SP - 19
EP - 29
DO - 10.5220/0006231200190029
PB - SciTePress

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