How AI And LLMs Are Redefining Demand Forecasting In The Automotive Aftermarket

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...
IEEE

A Comparative Analysis of Deep Learning and Ensemble Methods for Time Series Forecasting

Abstract: Time series forecasting plays a pivotal role in various domains such as finance, healthcare, and energy, where accurate predictions are critical for decision-making. This study presents a ...
IEEE

A Self-Supervised Pre-Learning Method for Low Wind Power Forecasting

Abstract: As wind power is becoming a major energy source of power systems, the risk of power shortages due to its intermittent low power output is growing. Accurate forecasting of low wind power is ...
Frontiers

Innovation in Traditional Sport: Applying the Delphi Method to Strategic Design in Basque Hand-Ball

The final, formatted version of the article will be published soon. This study explores the potential of prospective qualitative methods, specifically the combination of the Delphi technique and ...