In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

A microgrid is a small-scale power generation and distribution system that can achieve self-control 1,2, protection and management, and can either operate in parallel with the external power grid or ...

Learn how PPC automation layering combines Smart Bidding, scripts, AI tools, and human strategy to improve campaign efficiency, oversight, and long-term performance. Automation has been part of PPC ...

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...

The vehicle scheduling problem (VSP) is one of the most important scheduling problems in public transportation systems 1, such as flight departure and arrival 2, airport ground service support 3, and ...

Energy finance is the product of the close combination of the energy industry and the financial industry, and the two affect each other. The energy crisis may lead to a financial crisis, and the ...

This article presents a power system joint optimization generation regulation method based on the improved balance optimizer, which takes the five factors of power system network loss, voltage offset, ...

I originally created this as a short to-do list of study topics for becoming a software engineer, but it grew to the large list you see today. After going through this study plan, I got hired as a ...

The Dynamic Vehicle Routing Problem with Stochastic Requests (DVRPSR) is a prototypical problem in transportation logistics. The DVRPSR calls for an initial route plan and an online scheduling policy ...

Abstract: The fairness concept has been widely studied in the area of data networks. The most well-known fairness criterion (max–min fairness) gives priority to the minimum-rate session. Kelly ...