Abstract: Accurate probabilistic forecasting of distributed photovoltaic (DPV) ultra-short-term power is of great significance for the operation and scheduling of distribution networks. To address the ...

Editor’s Note: This article is the first in a two-part series. For more than a century, wholesale distributors like you have been the linchpins of supply chains, seamlessly connecting manufacturers to ...

Abstract: Out-of-distribution (OOD) detection presents a significant challenge in deploying pattern recognition and machine learning models, as they frequently fail to generalize to data from unseen ...

Muscle spindles (MSs) are essential for proprioception and motor control. The precise distribution and localization of MSs have been the focus of major research efforts to provide a foundation for ...

Introduction: Island biogeography theory posits that both island area and isolation significantly influence species distribution patterns and community structure. This study investigates the effects ...

Organic light-emitting diodes (OLEDs) have become a cornerstone in display and lighting technologies, driving the demand for efficient organic thermally activated delayed fluorescence (TADF) materials ...

ABSTRACT: Osyris lanceolata is heavily and illegally exploited in East Africa for its essential oils, yet little is known about its population status and ecological requirements. This study examined ...

Traffic congestion and its inherent stochasticity continue to challenge urban mobility worldwide. To address this, researchers have introduced a groundbreaking framework for modeling the Stochastic ...

ABSTRACT: Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random ...