Systematic review of passenger demand forecasting in aviation industry

RA Zachariah, S Sharma, V Kumar - Multimedia tools and applications, 2023 - Springer
Forecasting aviation demand is a significant challenge in the airline industry. The design of
commercial aviation networks heavily relies on reliable travel demand predictions. It enables …

Modelling and Forecasting Nigeria's Tax Revenue: A Comparative Analysis of SARIMA and Holt-Winters Models

M Tasi'u, AM Usman, HD Garba - UMYU Scientifica, 2024 - scientifica.umyu.edu.ng
Tax revenue is a government's income from taxes imposed on individuals, businesses, and
other entities. It is a crucial funding source for public expenditures, such as infrastructure …

[PDF][PDF] Selection of the best arima models for urban drought prediction

N Tihi, S Popov - Fresenius Environmental Bulletin, 2023 - researchgate.net
ABSTRACT ARIMA models can be used in various domains and one of them is weather
forecasting. Urban droughts, as one of the least predictable catastrophic events, can cause …

Application of the ARIMA model in house price index in Malaysia

MHI Zamri, MHI Rifin, N Amit - Jurnal Intelek, 2024 - ir.uitm.edu.my
The factors that affecting the escalating price of houses in Malaysia are driven by factors
such as population growth, income dynamics, interest rates, and GDP. This phenomenon …

TIME SERIES FORECASTING MODELS OF NON-SCHEDULED PASSENGER AIR TRANSPORTATION

D Nazarli - Journal of Problems in Computer Science and …, 2024 - jpcsip.kaznu.kz
The change in the time series of non-scheduled passenger air transportation is random and
variable, which creates a number of problems in forecasting the demand for this type of …

[PDF][PDF] Coconut Price Prediction in Sri Lanka Using Supervised Machine Learning Approach (LSTM)

G Padmasiri - 2022 - researchgate.net
ABSTRACT Among Sri Lankans Coconut is a very prominent food with versatile usages.
Coconut price is a significant factor but unfortunately the coconut price is fluctuating …

The System of Inventory Forecasting in PT. XYZ by using the Method of Holt Winter Multiplicative

W Shaleh - IOP Conference Series: Materials Science and …, 2018 - iopscience.iop.org
Problems at PT. XYZ currently only rely on manual bookkee**, then the cost of production
will swell and all investments invested to be less to predict sales and inventory of goods. If …