Guest attendance data from 34 Swedish pre-schools and primary schools
TLDR
In this paper, the authors describe 34 datasets, compiled into one table, describing guest attendance at lunch meal servings in Swedish public schools and preschools, covering the period both before and during the initial phase of the Covid-19 pandemic, making possible to evaluate changes in guest attendance during the pandemic.About:
This article is published in Data in Brief.The article was published on 2021-05-13 and is currently open access. It has received 0 citations till now. The article focuses on the topics: Attendance.read more
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Food waste reduction and economic savings in times of crisis: The potential of machine learning methods to plan guest attendance in Swedish public catering during the Covid-19 pandemic
TL;DR: In this paper, the authors evaluated the potential of a forecasting model to predict guest attendance during the start and throughout the Covid-19 pandemic in Swedish schools and preschool catering establishments.
Journal ArticleDOI
Potential for using guest attendance forecasting in Swedish public catering to reduce overcatering
TL;DR: In this paper, the authors examined conventional forecasting methods (last-value forecasting, moving-average models) and more complex models (prophet model, neural network model) and calculated associated margins for all models.