Abstract: Accurate demand forecasting across extended time horizons remains a critical challenge in power systems planning, particularly in balancing model complexity with predictive performance. This ...

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...

This repository has been tested extensively with Python 3.10.15. Typical install time via uv is less than a minute. We prepared a small toy model, trained on CIFAR10 so the Auditor can be tested. All ...

Abstract: Exogenous variables are specially used in Structural Causal Models (SCM), which, however, have some characteristics that are still useful under the property of the Bayesian network. In this ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental. JITing, or “just-in-time” compilation, can make relatively slow ...