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Optimization of dynamic ticket pricing parameters
(Palgrave Macmillan Ltd, 2019)
This paper proposes a joint pricing model that combines the advantages of variable and dynamic ticket pricing models, where optimal dynamic prices are calculated for sporting events based on game-, time-, and inventory-related ...
Prediction of sports attendance: A comparative analysis
(SAGE Publications, 2022)
In this study, a comparative analysis for predicting sports attendance demand is presented based on econometric, artificial intelligence, and machine learning methodologies. Data from more than 20,000 games from three major ...
Forecasting COVID-19 Cases based on mobility
(Manas Journal of Engineering, 2020)
Countries struggling to overcome the profound and devastating effects of COVID-19 have started taking steps to return to the "new normal." Any accurate forecasting can help countries and decision-makers make plans and ...
Solar panel energy production forecasting by machine learning methods and contribution of lifespan to sustainability
(Springer, 2023)
The struggle to protect the atmosphere and the environment is increasing rapidly around the world. More work is needed to make energy production from renewable energy sources sustainable. The integration of energy with ...