@inproceedings{bde8b1ddda2f466db86273c9ac41bf7f,
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",
}
