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Machine Learning and Artificial Intelligence: Trends and Applications

Deep Learning, Generative Models, and Real-World Deployments

Eds. Marcus Lindqvist, Chen Wei

This volume provides an in-depth exploration of the rapidly evolving landscape of machine learning and AI. Chapters cover transformer architectures, large language models, computer vision, reinforcement learning, and responsible AI practices. Written by leading researchers from top institutions worldwide, the book is essential reading for both researchers and practitioners.

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Smart Grid Energy Management with Reinforcement Learning

Lars Eriksson, Anna Berg

In: Sustainable Energy Systems and Technologies

We develop a multi-agent reinforcement learning framework for real-time energy management in smart grids with high penetration of renewable energy sources. The framework coordinates distributed energy resources, battery storage, and demand response programs to minimize operational costs while maintaining grid stability. Simulation results on a IEEE 33-bus test system validate the approach.