Abstract: The optimal power flow (OPF) problem of active distribution network (ADN) is a stochastic, nonconvex, and nonlinear problem. Although several algorithms have been presented to solve this ...

A study highlighting Amazon's dynamic pricing algorithm indicates that the function led schools and municipalities to overpay for office supplies. While Amazon may offer convenience, its pricing ...

AI algorithms use information about you to decide how much you'll pay for items you need. It's unfair, and the Legislature must act. Credit: Getty Images. Across our economy, powerful companies are ...

ABSTRACT: With the widespread integration of high-penetration renewable energy, load volatility and spatio-temporal imbalances in power systems have intensified, imposing higher demands on real-time ...

Welcome to the Stochastic Control for Continuous Time Portfolios project! This application uses Deep Reinforcement Learning to help you manage your investments smartly. You will learn how to adapt ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

A Matlab implementation of Dynamic Programming Algorithm for stereo matching. It provides vertical smoothness by trying to keep the current path close to the former path using an additional ...