Abstract: The ability to learn complex system dynamics is crucial to enhancing the reliability and stability of power systems. In this paper, we develop a novel neural ordinary differential equation ...

A differential equation is an equality constraining a mathematical function in relation to its derivatives over one or multiple variables. Such equations may constitute the mathematical model for a ...

Abstract: This paper presents a multilevel deep reinforcement learning (DRL) algorithm for a privacy-preserving charging of reserved individual electric vehicles (EVs) and the secure operation of a ...

Dubbed as the "core of industrial software," solvers are a key tool for finding solutions to complex mathematical programming problems. They are essential for deriving optimal operation solutions in ...