Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...

Abstract: In this paper, a multi-objective optimization method based on linear programming for microgrid wind, solar and storage coordination is proposed, aiming to improve the economy and operational ...

Abstract: With the rapid development of vehicle technology, the functions of automatic driving system become increasingly rich. As the core module of intelligent driving, the algorithm design of ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Attention is the dominant source of latency during long-context LLM inference, an increasingly popular workload with reasoning models and RAG. We propose Kascade, a training-free sparse attention ...