In this letter, we propose a data-driven linear PF model incorporating the KCL constraints and can be embedded in OPF for distribution networks (DNs). By combining the support vector regression (SVR) ...

In the offline learning stage, a learning model is constructed based on the proposed exact linear regression equations, and then the proposed learning model is solved by the ridge regression (RR) ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings ...

The benefits of regression analysis are manifold: The regression method of forecasting is used for, as the name implies, forecasting and finding the causal relationship between variables.

Any home gardener knows they have to tailor their watering regime for different plants. Forgetting to water their flowerbed ...

BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...

From planning to trailblazing, discover the world of data management in this guide. Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its ...

Objective This study aimed to assess the coronavirus disease 2019 (COVID-19) hospitalisation costs and its associated factors on Nepalese households during the second wave of the pandemic, within the ...

Learn how to use linear regression tools for predictive maintenance in industrial equipment, and what are the benefits and challenges of this strategy.

Correlation coefficients can mean a positive, negative, or no relationship between two variables. Use correlation coefficients to help pick securities for your portfolio.