Some Empirical Evaluations of a Temperature Forecasting Module based on Artificial Neural Networks for a Domotic Home Environment

F. Zamora-Martinez, P. Romeu, J. Pardo, D. Tormo

2012

Abstract

This work presents the empirical evaluation of an indoor temperature prediction module which is integrated in an ambient intelligence control software. This software is running on the SMLhouse, a domotic house built by our university. A study of impact on prediction error of future window size has been performed. We use Artificial Neural Networks models for a multi-step-ahead direct forecasting, using an output size of 60, 120, and 180. Interesting results have been obtained, in the worst case a Mean Absolute Error of 0.223ºC over a validation set, and 0.566ºC over a hard unseen test set. This results inspire the development of an automatic control built over this predictions, that could manage the climate system in order to enhance the comfort and energy efficiency of our house.

Paper Citation

in Harvard Style

Zamora-Martinez F., Romeu P., Pardo J. and Tormo D. (2012). Some Empirical Evaluations of a Temperature Forecasting Module based on Artificial Neural Networks for a Domotic Home Environment . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 206-211. DOI: 10.5220/0004133502060211

in Bibtex Style

@conference{kdir12,
author={F. Zamora-Martinez and P. Romeu and J. Pardo and D. Tormo},
title={Some Empirical Evaluations of a Temperature Forecasting Module based on Artificial Neural Networks for a Domotic Home Environment},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={206-211},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004133502060211},
isbn={978-989-8565-29-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - Some Empirical Evaluations of a Temperature Forecasting Module based on Artificial Neural Networks for a Domotic Home Environment
SN - 978-989-8565-29-7
AU - Zamora-Martinez F.
AU - Romeu P.
AU - Pardo J.
AU - Tormo D.
PY - 2012
SP - 206
EP - 211
DO - 10.5220/0004133502060211