A Model for Predicting the Load on the Service

In order to quickly respond to emergencies, it is necessary not only to hone the process of collecting the recovery team and the recovery process, but also to be able to anticipate the days of increased workload. Thanks to forecasting,the recovery team can prepare and prevent an emergency situation...

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Bibliographic Details
Published inSystems of Signals Generating and Processing in the Field of on Board Communications (Online) pp. 1 - 6
Main Authors Panteleeva, K. A., Vakurin, I. S., Shevelev, S. V., Gadasin, D. V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.03.2025
Subjects
Accuracy
Companies
Demand forecasting
forecast
Information systems
Libraries
load
Load modeling
Machine learning
Predictive models
prophet
Remuneration
System recovery
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Summary:In order to quickly respond to emergencies, it is necessary not only to hone the process of collecting the recovery team and the recovery process, but also to be able to anticipate the days of increased workload. Thanks to forecasting,the recovery team can prepare and prevent an emergency situation as a result of an increased load on the service.
ISSN:2768-0118
DOI:10.1109/IEEECONF64229.2025.10948104