PREDICTIVE TOOLS AS PART OF DECISSION AIDING PROCESSES AT THE AIRPORT – THE CASE OF FACEBOOK PROPHET LIBRARY

Prophet is a quite fresh and promising open-source library for machine learning, developed by Facebook, that gains some significant interest. It could be used for predicting time series taking into account holidays and seasonality effects. Its possible applications and deficit of scientific works c...

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Main Authors: Sylwester KORGA, Kamil ŻYŁA, Jerzy JÓZWIK, Jarosław PYTKA, Kamil CYBUL
Format: Article
Language:English
Published: Polish Association for Knowledge Promotion 2023-12-01
Series:Applied Computer Science
Subjects:
Online Access:https://ph.pollub.pl/index.php/acs/article/view/4436
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author Sylwester KORGA
Kamil ŻYŁA
Jerzy JÓZWIK
Jarosław PYTKA
Kamil CYBUL
author_facet Sylwester KORGA
Kamil ŻYŁA
Jerzy JÓZWIK
Jarosław PYTKA
Kamil CYBUL
author_sort Sylwester KORGA
collection DOAJ
description Prophet is a quite fresh and promising open-source library for machine learning, developed by Facebook, that gains some significant interest. It could be used for predicting time series taking into account holidays and seasonality effects. Its possible applications and deficit of scientific works concerning its usage within decision processes convinced the authors to state the research question, if the Prophet library could provide reliable prediction to support decision-making processes at the airport. The case of Radawiec airport (located near Lublin, Poland) was chosen. Official measurement data (from the last 4 years) published by the Polish Government  Institute was used to train the neural network and predict daily averages of wind speed, temperature, pressure, relative humidity and rainfall totals during the day and night. It was revealed that most of the predicted data points were within the acceptance threshold, and computations were fast and highly automated. However, the authors believe that the Prophet library is not particularly useful for airport decision-making processes because the way it handles additional regressors and susceptibility to unexpected phenomena negatively affects the reliability of prediction results.
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spelling doaj.art-ddf3f6997418447a88d60147899cc7202024-01-08T09:51:33ZengPolish Association for Knowledge PromotionApplied Computer Science2353-69772023-12-0119410.35784/acs-2023-35PREDICTIVE TOOLS AS PART OF DECISSION AIDING PROCESSES AT THE AIRPORT – THE CASE OF FACEBOOK PROPHET LIBRARYSylwester KORGA0Kamil ŻYŁA1https://orcid.org/0000-0002-6291-003XJerzy JÓZWIK2Jarosław PYTKA3Kamil CYBUL4Lublin University of TechnologyLublin University of TechnologyLublin University of TechnologyLublin University of TechnologyLublin University of Technology, Central Office of Measures Prophet is a quite fresh and promising open-source library for machine learning, developed by Facebook, that gains some significant interest. It could be used for predicting time series taking into account holidays and seasonality effects. Its possible applications and deficit of scientific works concerning its usage within decision processes convinced the authors to state the research question, if the Prophet library could provide reliable prediction to support decision-making processes at the airport. The case of Radawiec airport (located near Lublin, Poland) was chosen. Official measurement data (from the last 4 years) published by the Polish Government  Institute was used to train the neural network and predict daily averages of wind speed, temperature, pressure, relative humidity and rainfall totals during the day and night. It was revealed that most of the predicted data points were within the acceptance threshold, and computations were fast and highly automated. However, the authors believe that the Prophet library is not particularly useful for airport decision-making processes because the way it handles additional regressors and susceptibility to unexpected phenomena negatively affects the reliability of prediction results. https://ph.pollub.pl/index.php/acs/article/view/4436weather predictionFacebook Prophetaviationmachine learningData Analysis
spellingShingle Sylwester KORGA
Kamil ŻYŁA
Jerzy JÓZWIK
Jarosław PYTKA
Kamil CYBUL
PREDICTIVE TOOLS AS PART OF DECISSION AIDING PROCESSES AT THE AIRPORT – THE CASE OF FACEBOOK PROPHET LIBRARY
Applied Computer Science
weather prediction
Facebook Prophet
aviation
machine learning
Data Analysis
title PREDICTIVE TOOLS AS PART OF DECISSION AIDING PROCESSES AT THE AIRPORT – THE CASE OF FACEBOOK PROPHET LIBRARY
title_full PREDICTIVE TOOLS AS PART OF DECISSION AIDING PROCESSES AT THE AIRPORT – THE CASE OF FACEBOOK PROPHET LIBRARY
title_fullStr PREDICTIVE TOOLS AS PART OF DECISSION AIDING PROCESSES AT THE AIRPORT – THE CASE OF FACEBOOK PROPHET LIBRARY
title_full_unstemmed PREDICTIVE TOOLS AS PART OF DECISSION AIDING PROCESSES AT THE AIRPORT – THE CASE OF FACEBOOK PROPHET LIBRARY
title_short PREDICTIVE TOOLS AS PART OF DECISSION AIDING PROCESSES AT THE AIRPORT – THE CASE OF FACEBOOK PROPHET LIBRARY
title_sort predictive tools as part of decission aiding processes at the airport the case of facebook prophet library
topic weather prediction
Facebook Prophet
aviation
machine learning
Data Analysis
url https://ph.pollub.pl/index.php/acs/article/view/4436
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