Modeling of Energy Demand of a High-Tech Greenhouse in Warm Climate Based on Bayesian Networks
Joint Authors
Hernández, César
del Sagrado, José
Rodríguez, Francisco
Sánchez, Jorge Antonio
Moreno, José Carlos
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This work analyzes energy demand in a High-Tech greenhouse and its characterization, with the objective of building and evaluating classification models based on Bayesian networks.
The utility of these models resides in their capacity of perceiving relations among variables in the greenhouse by identifying probabilistic dependences between them and their ability to make predictions without the need of observing all the variables present in the model.
In this way they provide a useful tool for an energetic control system design.
In this paper the acquisition data system used in order to collect the dataset studied is described.
The energy demand distribution is analyzed and different discretization techniques are applied to reduce its dimensionality, paying particular attention to their impact on the classification model’s performance.
A comparison between the different classification models applied is performed.
American Psychological Association (APA)
Hernández, César& del Sagrado, José& Rodríguez, Francisco& Moreno, José Carlos& Sánchez, Jorge Antonio. 2015. Modeling of Energy Demand of a High-Tech Greenhouse in Warm Climate Based on Bayesian Networks. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073204
Modern Language Association (MLA)
Hernández, César…[et al.]. Modeling of Energy Demand of a High-Tech Greenhouse in Warm Climate Based on Bayesian Networks. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1073204
American Medical Association (AMA)
Hernández, César& del Sagrado, José& Rodríguez, Francisco& Moreno, José Carlos& Sánchez, Jorge Antonio. Modeling of Energy Demand of a High-Tech Greenhouse in Warm Climate Based on Bayesian Networks. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073204
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073204