IEEE

Comparison of Regression and Classification Models for Forecasting Thai Gold Prices

Abstract: Accurate forecasting of gold prices is essential for investors, policymakers, and businesses due to gold's role as a financial asset and market hedge. This study compares classification and ...
GitHub

real-time-forecasting

A DSS leveraging CPI data provides real-time and predictive insights for MoSPI, NSO, and CSO. Using ARIMA, SARIMA, and LSTM models, it forecasts CPI trends across sectors, supports decision-making, ...
IEEE

Interval Forecasting Using GEV Regression With Stochastic Search Variable Selection: A Simulation Study and Its Application to Forecast Imported Meat Price Range

Abstract: This study aims to forecast the price range, i.e., the interval forecast between the upper and lower bounds of prices, using Generalized Extreme Value Regression (GEVReg) as a robust tool ...
GitHub

Transformer-based Time Series Forecasting

The project uses a forecast horizon of 96 hours (4 days) and evaluates models using rolling-origin cross-validation with proper temporal data splitting to avoid data leakage. The validation and test ...