Multivariate time series long-term forecasting has always been the subject of research in
various fields such as economics, finance, and traffic. In recent years, attention-based …

Beberapa penyebab terjadinya pengangguran di Indonesia ialah, tingkat urbanisasi, tingkat
industrialisasi, proporsi angkatan kerja SLTA dan upah minimum provinsi. Faktor-faktor …

In this study, ground-level ozone is modeled using Seasonal Autoregressive Integrated
Moving Average (SARIMA) and additive Holt–Winters models over the North-Western cluster …

This study applies statistical methods and deep learning techniques to forecast the daily
average PM 2.5 concentration in northern Thailand, where the concentration is usually high …

Global air pollution poses a threat to humanity. Specifically, CO directly affects
cardiovascular and other organ tissues and leads to numerous chronic diseases and major …

The research aims to analyze the acceleration of the population growth in Lombok which
consists of 5 districts/cities using forecasting system by constructing the winter's method in …

The pulp and paper industry has a significant role in Europe's economy and society, and its
significance is still growing. The pulp market and the customers' requirements are highly …

This study applies statistical methods and deep learning techniques to forecast the daily
average PM2. 5 concentration in northern Thailand, where the concentration is usually high …

The effectiveness of the Holt-Winters model in time-series forecasting is compromised in
scenarios involving low data values and pronounced seasonal variations. This issue is …

This research aims to find the best way to improve the process of forecasting at Company X,
which is a company specialized in the development of cycling accessories. Demand …