Abstract: Load forecasting is essential for efficient microgrid management, providing key advantages in operational efficiency, cost control, and grid reliability. As microgrids become increasingly ...

Abstract: In safety-critical engineering applications, such as robust prediction against adversarial noise, it is necessary to quantify neural networks’ uncertainty. Interval neural networks (INNs) ...