Abstract: This paper investigates the energy management of distribution network with distributed renewable. A novel energy management strategy is proposed based on learning-driven model predictive ...
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We explore practical approaches to dataset construction, examining the advantages and limitations of 3 primary methods: fully manual preparation by expert annotators, fully synthetic generation using ...
Inventory is one of the most important parts of running a business—and one of the most challenging to manage. Overstocking ...
The 2025 OCP Global Summit showcased a shift towards high-density GPU racks, standardized liquid cooling, and 800 VDC power distribution, aiming to accelerate AI data center deployment while reducing ...
According to Anthropic, Opus 4.6 “brings more focus to the most challenging parts of a task without being told to, moves quickly through the more straightforward parts, handles ambiguous problems with ...
Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...