Developing a hybrid forecasting system for international hotel revenue : The case of Taiwan
Abstract
The hotel industry has grown rapidly over the past decade, placing higher demands on managers to outperform their competitors in the industry. Planning and allocating sufficient resources to hotel operations, investments, finance and marketing requires accurate forecasts. This study proposes an approach to predict international hotel revenue in Taiwan. First, the SARIMA model is used to predict the number of occupied rooms and average room price. Next, genetic algorithm technology is used to establish an artificial intelligence neural network model for hotel revenue prediction. The hospitality industry can benefit from the suggested approach.
Fields of Study & Subjects
Forecasting Techniques and Applications
Stock Market Forecasting Methods
Time Series Analysis and Forecasting
Publication details
- Journal / source
- Journal of Information and Optimization Sciences
- Volume
- 47
- Issue
- 2
- Pages
- 715–726
- Publication date
- 1 January 2026