Abstract: Traditional inventory management systems suffer from inefficiencies, manual intervention, and high error rates. This paper presents an AI-driven smart ...

For decades, distributors relied on systems that were built for stability, not speed. Legacy ERPs, custom spreadsheets, and disconnected sales tools worked well enough when markets were predictable ...

Abstract: Power system dispatching and operation rely on massive operation data, especially for data-driven methods. However, power systems often face challenges with insufficient or imbalanced data, ...