Abstract: This study applies nonlinear optimization to the long- and medium-term hydrothermal scheduling in the Brazilian Power System (BPS). The long-term problem is addressed with a monthly stage ...

Discover how a new AI system is revolutionizing energy management by merging machine learning and mathematical programming. This innovative approach not only boosts prediction accuracy but also ...

In a paper titled Artificial Superintelligence May Be Useless: Equilibria in the Economy of Multiple AI Agents, a team of researchers state that equilibrium outcomes in multi-agent economies may ...

Abstract: This work proposes a multi-objective optimization framework using NSGA-II to tune Multilayer Percetron (MLP)based nonlinear equalizers for digital coherent optical systems. A 400 Gbps ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...

Deployment in one of Europe’s leading HPC facilities moves photonic co-processing into rigorous production evaluation to address AI’s energy problems ...

Purpose: The urban reading spaces in Beijing serve as a pivotal component in transforming public libraries and promoting ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results ...

AI scenario planning doesn’t attempt to be “right” in the traditional forecasting sense. Its real value lies in systematic ...

Greetings, and welcome to the Tecogen Fiscal Year 2025 Conference Call. [Operator Instructions] As a reminder, this conference is being recorded. It's now my pleasure to turn the call over to Jack ...