Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling

Use this link to cite
http://hdl.handle.net/2183/23424Collections
- Investigación (EPEF) [583]
Metadata
Show full item recordTitle
Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent ModelingAuthor(s)
Date
2019Citation
Casteleiro-Roca, J.; Gómez-González, J.F.; Calvo-Rolle, J.L.; Jove, E.; Quintián, H.; Gonzalez Diaz, B.; Mendez Perez, J.A. Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling. Sensors 2019, 19, 2485
Abstract
[Abstract] The hotel industry is an important energy consumer that needs efficient energy management
methods to guarantee its performance and sustainability. The new role of hotels as prosumers
increases the difficulty in the design of these methods. Also, the scenery is more complex as renewable
energy systems are present in the hotel energy mix. The performance of energy management systems
greatly depends on the use of reliable predictions for energy load. This paper presents a new
methodology to predict energy load in a hotel based on intelligent techniques. The model proposed
is based on a hybrid intelligent topology implemented with a combination of clustering techniques
and intelligent regression methods (Artificial Neural Network and Support Vector Regression).
The model includes its own energy demand information, occupancy rate, and temperature as inputs.
The validation was done using real hotel data and compared with time-series models. Forecasts
obtained were satisfactory, showing a promising potential for its use in energy management systems
in hotel resorts
Keywords
Energy forecast
Artificial neural networks
Hybrid modeling
Support vector regression
Hotel
Tourism
Artificial neural networks
Hybrid modeling
Support vector regression
Hotel
Tourism
Description
This paper is the extension of the conference paper: Casteleiro-Roca, J.-L.; Gómez-González, J.F.;
Calvo-Rolle, J.L.; Jove, E.; Quintián, H.; Acosta Martín, J.F.; Gonzalez Perez, S.; Gonzalez Diaz, B.;
Calero-Garcia, F. and Méndez-Perez, J.A. Prediction of the Energy Demand of a Hotel Using an Artificial
Intelligence-Based Model. In Proceedings of the 13th International Conference, Hybrid Artificial Intelligent
Systems (HAIS), Oviedo, Spain, 20–22 June 2018.
Editor version
Rights
Atribución 3.0 España
ISSN
1424-8220