Forecasting hotel demand for revenue management using machine learning regression methods-Reference-Cited by-同舟云学术

Forecasting hotel demand for revenue management using machine learning regression methods

Published:2021-11-17 Issue: Volume: Page:1-18
ISSN:1368-3500
Container-title:Current Issues in Tourism
language:en
Short-container-title:Current Issues in Tourism

Author:

Pereira Luis Nobre¹^ORCID,Cerqueira Vitor²

Affiliation:

1. Escola Superior de Gestão, Hotelaria e Turismo & Research Centre for Tourism, Sustainability and Well-being, Universidade do Algarve, Faro, Portugal

2. Dalhousie University, Halifax, Canada

Funder

Research Centre for Spatial and Organizational Dynamics-University of the Algarve

Fundação para a Ciência e a Tecnologia

Publisher

Informa UK Limited

Subject

Tourism, Leisure and Hospitality Management,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/13683500.2021.1999397

Reference74 articles.

1. Forecasting hotel demand uncertainty using time series Bayesian VAR models

2. Big Data in Hotel Revenue Management: Exploring Cancellation Drivers to Gain Insights Into Booking Cancellation Behavior

3. The theta model: a decomposition approach to forecasting

4. Application of machine learning techniques for supply chain demand forecasting

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