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 ...

The past year at the Federal Reserve saw the two sides of its congressionally mandated goals for maximum employment and stable prices in conflict — a situation not seen since the 1970s with ...

Abstract: This study investigates the application of machine learning (ML) algorithms to enhance the precision of wine quality assessment, focusing specifically on Portuguese red wine. Amidst the ...

Environmental change doesn’t affect evolution in a single, predictable way. In large-scale computer simulations, scientists discovered that some fluctuating conditions help populations evolve higher ...