Short-term electricity load forecasting is a critical factor in optimizing power systems, minimizing operating costs …, and securing reliable energy resources. There are various approaches for short-term electricity load forecasting, but … Convolutional Neural Network, Temporal Convolutional Network, and Bidirectional Long Short-Term Memory with a proposed attention …

short-term leverage. That is, Vietnamese listed firms actively reduce corporate leverage and short-term leverage as firms …

This study examines outcomes associated with a short-term intensive pedagogical experience aimed at developing social …% of the variance (R2 = 0.58). Overall, the findings suggest that short-term intensive educational experiences grounded in …

This paper examines the short-term macroeconomic and sectoral effects of extreme weather events in Germany, France …