The work presented in this article constitutes a contribution to modeling and forecasting the
demand in a food company, by using time series approach. Our work demonstrates how the …

Greenhouses provide controlled environmental conditions for crop cultivation but require
careful management to ensure ideal growing conditions. In this study, we tested three deep …

Solar radiation is the energy or radiation we get from the sun, time-varying data. Solar
radiation plays a vital role in various sectors. With better prediction, performances in these …

The global community and the academic world have paid great attention to whether and
when China's carbon dioxide (CO2) emissions will peak. Our study investigates the issue …

Containerization is one of the important factors for Thailand's economics. However, forecasts
of container throughput growth and development of Bangkok Port, the significant port of …

Having a new technology opportunity is a significant variable that can lead to dominance in
a competitive market. In that context, accurately understanding the state of development of …

Regression Tree (RT) forecasting models are widely used in short-term demand forecasting.
Likewise, Self-Organizing Maps (SOM) models are known for their ability to cluster and …

Sažetak With the availability of data and the increasing capabilities of data processing tools,
many businesses are leveraging historical sales and demand data to implement smart …

The global and regional land use/cover changes (LUCCs) are experiencing widespread
changes, particularly in Baghdad City, the oldest city of Iraq, where it lacks ecological …

It is important yet challenging to perform accurate and interpretable time series forecasting.
Though deep learning methods can boost the forecasting accuracy, they often sacrifice …