ARIMA modeling of animal zone temperature in weaned iglet buildings: Design of the model
Predictive models provide an efficient tool for improving environmental control in livestock buildings. In this article, a robust and accurate ARIMA model for forecasting temperature inside a building for weaned piglets in the range 6 to 20 kg live weight was built. The candidate models presented in...
| Autores: | , , , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2017 |
| País: | España |
| Recursos: | Universidad de Santiago de Compostela (USC) |
| Repositorio: | Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela |
| Idioma: | inglés |
| OAI Identifier: | oai:minerva.usc.gal:10347/45636 |
| Acesso em linha: | https://hdl.handle.net/10347/45636 |
| Access Level: | acceso abierto |
| Palavra-chave: | ARIMA Forecast Model Piglet Temperature 310408 Porcinos 310404 Cuidado y Explotación 310403 Cría |
| id |
ES_386979ba1afb8a48e01dcd7342f33ae9 |
|---|---|
| oai_identifier_str |
oai:minerva.usc.gal:10347/45636 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
ARIMA modeling of animal zone temperature in weaned iglet buildings: Design of the modelBesteiro, RobertoOrtega Martínez, Juan AntonioArango López, TamaraRodríguez Rodríguez, Manuel RamiroFernández Rodríguez, María DoloresARIMAForecastModelPigletTemperature310408 Porcinos310404 Cuidado y Explotación310403 CríaPredictive models provide an efficient tool for improving environmental control in livestock buildings. In this article, a robust and accurate ARIMA model for forecasting temperature inside a building for weaned piglets in the range 6 to 20 kg live weight was built. The candidate models presented in this article predict 10 min values during a complete production cycle, which makes them suitable as predictive models for improving control strategies. The accuracy of the base model, which used outdoor temperature as a predictor variable, can be improved by appropriately replacing the outliers in the time series. Because accuracy increases with the increase in the number of predictor variables, the model that used four variables (temperature at the air outlet, area of the air outlet through the fan, volume of air extracted, and animal live weight) provided the best results, with a maximum absolute error of 0.840°C, a root mean square error of 0.204°C, and random residuals according to the Ljung-Box statistic. This model used only the values of the last 20 min for the forecast, which suggests low thermal inertia in the animal zone. In addition, the model includes predictor variables that are representative of outdoor conditions, operation of the systems, and animal health statusAmerican Society of Agricultural and Biological EngineersUniversidade de Santiago de Compostela. Departamento de Enxeñaría Agroforestal20172017-09-0120172017-09-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10347/45636reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostelainstname:Universidad de Santiago de Compostela (USC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:minerva.usc.gal:10347/456362026-06-15T12:47:27Z |
| dc.title.none.fl_str_mv |
ARIMA modeling of animal zone temperature in weaned iglet buildings: Design of the model |
| title |
ARIMA modeling of animal zone temperature in weaned iglet buildings: Design of the model |
| spellingShingle |
ARIMA modeling of animal zone temperature in weaned iglet buildings: Design of the model Besteiro, Roberto ARIMA Forecast Model Piglet Temperature 310408 Porcinos 310404 Cuidado y Explotación 310403 Cría |
| title_short |
ARIMA modeling of animal zone temperature in weaned iglet buildings: Design of the model |
| title_full |
ARIMA modeling of animal zone temperature in weaned iglet buildings: Design of the model |
| title_fullStr |
ARIMA modeling of animal zone temperature in weaned iglet buildings: Design of the model |
| title_full_unstemmed |
ARIMA modeling of animal zone temperature in weaned iglet buildings: Design of the model |
| title_sort |
ARIMA modeling of animal zone temperature in weaned iglet buildings: Design of the model |
| dc.creator.none.fl_str_mv |
Besteiro, Roberto Ortega Martínez, Juan Antonio Arango López, Tamara Rodríguez Rodríguez, Manuel Ramiro Fernández Rodríguez, María Dolores |
| author |
Besteiro, Roberto |
| author_facet |
Besteiro, Roberto Ortega Martínez, Juan Antonio Arango López, Tamara Rodríguez Rodríguez, Manuel Ramiro Fernández Rodríguez, María Dolores |
| author_role |
author |
| author2 |
Ortega Martínez, Juan Antonio Arango López, Tamara Rodríguez Rodríguez, Manuel Ramiro Fernández Rodríguez, María Dolores |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Universidade de Santiago de Compostela. Departamento de Enxeñaría Agroforestal |
| dc.subject.none.fl_str_mv |
ARIMA Forecast Model Piglet Temperature 310408 Porcinos 310404 Cuidado y Explotación 310403 Cría |
| topic |
ARIMA Forecast Model Piglet Temperature 310408 Porcinos 310404 Cuidado y Explotación 310403 Cría |
| description |
Predictive models provide an efficient tool for improving environmental control in livestock buildings. In this article, a robust and accurate ARIMA model for forecasting temperature inside a building for weaned piglets in the range 6 to 20 kg live weight was built. The candidate models presented in this article predict 10 min values during a complete production cycle, which makes them suitable as predictive models for improving control strategies. The accuracy of the base model, which used outdoor temperature as a predictor variable, can be improved by appropriately replacing the outliers in the time series. Because accuracy increases with the increase in the number of predictor variables, the model that used four variables (temperature at the air outlet, area of the air outlet through the fan, volume of air extracted, and animal live weight) provided the best results, with a maximum absolute error of 0.840°C, a root mean square error of 0.204°C, and random residuals according to the Ljung-Box statistic. This model used only the values of the last 20 min for the forecast, which suggests low thermal inertia in the animal zone. In addition, the model includes predictor variables that are representative of outdoor conditions, operation of the systems, and animal health status |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017 2017-09-01 2017 2017-09-01 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/10347/45636 |
| url |
https://hdl.handle.net/10347/45636 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
American Society of Agricultural and Biological Engineers |
| publisher.none.fl_str_mv |
American Society of Agricultural and Biological Engineers |
| dc.source.none.fl_str_mv |
reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela instname:Universidad de Santiago de Compostela (USC) |
| instname_str |
Universidad de Santiago de Compostela (USC) |
| reponame_str |
Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela |
| collection |
Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869406100314390528 |
| score |
15,812429 |