AI-driven forecasting and optimization are transforming the automotive supply chain, improving demand accuracy, cutting inventory costs, and enhancing resilience. Studies highlight gains from ensemble ...

From idle production lines to costly rush orders, poor spare parts forecasting can cripple operations. New AI, statistical models, and integrated tracking systems are helping companies predict demand ...

This Research Topic highlights recent advances in fractal geometry, fractional calculus, and artificial intelligence (AI) for addressing complex problems in ...

Forecasting company Amperon has launched a new AI-based short-term probabilistic forecasting tool for solar and wind ...

A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of ...

A new wave of intelligent water systems powered by Artificial Intelligence of Things (AIoT) is transforming how governments and industries monitor, predict, and manage water resources, as mounting ...

Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

ABSTRACT: Cereal production in Somalia is characterized by extreme volatility driven by climate shocks. This study addresses the limitations of traditional agricultural planning by evaluating optimal ...