Domestic air demand forecast using cross-validation
نویسندگان
چکیده
منابع مشابه
Dynamic Simulation of Air Cargo Demand Forecast
This paper establishes an approach to forecast air cargo demand related to terminal capacity expansion. To balance capacity and demand, it is required to forecast the future demand based on optimistic and pessimistic projections to decide when and how much, the airport should expand the capacity. System dynamics simulation model can provide reliable forecast and generate scenarios to test alter...
متن کاملA Multivariate Arima Model to Forecast Air Transport Demand
Forecast of air transport demand has a great influence on the development of airport master plans with respect both to airside (runways, taxiways, aprons, technological devices) and landside (boarding/landing area, waiting rooms, etc.), given that it depends on the amount of passengers during the reference time period, usually the year or more years for such aim. As a result of deregulation and...
متن کاملCrowdsourced Electricity Demand Forecast
We propose a new approach to forecasting the demand for a commodity in which the commodity supplier asks each consumer to forecast its own demand for the commodity and in return gives a monetary reward that is proportional to the accuracy of the forecast. Such an approach might be applicable when consumer demand for a perishable commodity is uncertain and forecast error leads to waste for produ...
متن کاملEnergy Demand Analysis and Forecast
Sustainable energy systems are necessary to save the natural resources avoiding environmental impacts which would compromise the development of future generations. Delivering sustainable energy will require an increased efficiency of the generation process including the demand side. The architecture of the future energy supply can be characterized by a combination of conventional centralized po...
متن کاملForecast combinations for intermittent demand
Intermittent demand is characterised by infrequent demand arrivals, where many periods have zero demand, coupled with varied demand sizes. The dual source of variation renders forecasting for intermittent demand a very challenging task. Many researchers have focused on the development of specialised methods for intermittent demand. However, apart from a case study on hierarchical forecasting, t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Korean Society for Aviation and Aeronautics
سال: 2019
ISSN: 1225-9705,2466-1791
DOI: 10.12985/ksaa.2019.27.1.043