Linguistic Modeling and Synthesis of Heterogeneous Energy Consumption Time Series Sets

DOI

10.2991/ijcis.2018.125905639How to use a DOI?

Keywords

Time series; Linguistic summaries; Fuzzy model; Clustering; Energetic consumption

Abstract

Thanks to the presence of sensors and the boom in technologies typical of the Internet of things, we can now monitor and record the energy consumption of buildings over time. By effectively analyzing these data to capture consumption patterns, significant reductions in consumption can be achieved and this can contribute to a building’s sustainability. In this work, we propose a framework from which we can define models that capture this casuistry, gathering a set of time series of electrical consumption. The objective of these models is to obtain a linguistic summary based on y is P protoforms that describes in natural language the consumption of a given building or group of buildings in a specific time period. The definition of these descriptions has been solved by means of fuzzy linguistic summaries. As a novelty in this field, we propose an extension that is able to capture situations where the membership of the fuzzy sets is not very marked, which obtains an enriched semantics. In addition, to support these models, the development of a software prototype has been carried out and a small applied study of actual consumption data from an educational organization based on the conclusions that can be drawn from the techniques that we have described, demonstrating its capabilities in summarizing consumption situations. Finally, it is intended that this work will be useful to managers of buildings or organizational managers because it will enable them to better understand consumptionin a brief and concise manner, allowing them to save costs derived from energy supply by establishing sustainable policies.

Copyright

© 2019 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Sergio Martínez-Municio
AU  - Luis Rodríguez-Benítez
AU  - Ester Castillo-Herrera
AU  - Juan Giralt-Muiña
AU  - Luis Jiménez-Linares
PY  - 2018
DA  - 2018/12/17
TI  - Linguistic Modeling and Synthesis of Heterogeneous Energy Consumption Time Series Sets
JO  - International Journal of Computational Intelligence Systems
SP  - 259
EP  - 272
VL  - 12
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2018.125905639
DO  - 10.2991/ijcis.2018.125905639
ID  - Martínez-Municio2018
ER  -