Modern power systems are rapidly evolving into highly digitized smart grids, increasing their complexity at an unprecedented pace. Renewables, batteries, electric vehicles, power electronics, sensors ...

Help us create the next version of Optuna! Optuna 5.0 Roadmap published for review. Please take a look at the planned improvements to Optuna, and share your feedback in the github issues. PR ...

Hyperparameter optimization lies at the core of developing robust and reliable machine learning models. Unlike parameters learned during training, hyperparameters are set prior to the learning process ...

Abstract: The performance of machine learning algorithms are affected by several factors, some of these factors are related to data quantity, quality, or its features. Another element is the choice of ...

State Grid Corp. of China said it’s accelerating investment in power grids as Beijing pushes to stabilize growth and expand infrastructure spending. The utility reported fixed‑asset investment of 75.7 ...

PPL Electric Utilities announced on Monday that in 2026 it plans to make proactive upgrades, install innovative smart technology, and perform vegetation management to improve electric service and ...

Abstract: Hyperparameter optimization (HPO) represents a crucial step for achieving optimal performance from machine learning (ML) models but is often a substantial computational load. Throughout the ...

A deep freeze is gripping the US in the wake of the worst storm so far this season, leaving the country’s biggest electric grid in emergency status and bracing for record wintertime demand. PJM ...