2022
USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES
PETŘÍČEK, Martin and Štěpán CHALUPABasic information
Original name
USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES
Name (in English)
USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES
Authors
PETŘÍČEK, Martin and Štěpán CHALUPA
Edition
Prague, 10 th INTERNATIONAL CONFERENCE PROCEEDINGS CURRENT TRENDS IN SPA, HOSPITALITY AND TOURISM, p. 210-219, 10 pp. 2022
Publisher
Institute of Hospitality Management and Economics
Other information
Type of outcome
Proceedings paper
Confidentiality degree
is not subject to a state or trade secret
Publication form
electronic version available online
Organization unit
University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.
ISBN
978-80-7632-076-5
Keywords in English
Hotel, Optimization, Prediction, SARIMA model
Tags
International impact, Reviewed
Changed: 26/10/2022 10:08, doc. Ing. Martin Petříček, Ph.D.
V originále
Accurate prediction is a key basis for making the proper decisions within the management of any accommodation facility. The prediction of the quantity demanded thus represents one of the basic knowledge of a solid management system. The paper focuses on discussing and presenting the possibilities of using individual prediction techniques based on time series analysis. The SARIMA models, which in their modified form provide an appropriate basis for the application, seem to be a suitable element for the needs of accommodation services. The correct setting of the input values (p, d, q) (P, D, Q) can then be solved by using the presented algorithm based on the Akaike information criterion.
In English
Accurate prediction is a key basis for making the proper decisions within the management of any accommodation facility. The prediction of the quantity demanded thus represents one of the basic knowledge of a solid management system. The paper focuses on discussing and presenting the possibilities of using individual prediction techniques based on time series analysis. The SARIMA models, which in their modified form provide an appropriate basis for the application, seem to be a suitable element for the needs of accommodation services. The correct setting of the input values (p, d, q) (P, D, Q) can then be solved by using the presented algorithm based on the Akaike information criterion.