Abstract: This study develops a sequential quadratic programming algorithm for managing electric vehicle (EV) charging power in a charging station powered by a photovoltaic (PV) system, the power grid ...
Abstract: This paper considers personalized mixed-integer programming problems (MIPs) with global coupled constraints, where each cost function is associated with both local and global decisions. In ...
Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.
A Snowflake-native demo showcasing how manufacturing organizations can bridge the gap between aggressive Sales/Marketing demand and production capacity through integrated scenario planning and ...
A comprehensive Python framework for simulating and optimizing global energy systems using PyPSA-Earth. This project enables modeling of energy generation, transmission, storage, and consumption with ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback