Jul 18, 2024 · Energy management controllers (EMCs) are pivotal for optimizing energy consumption and ensuring operational efficiency across diverse systems. This review paper …

Apr 10, 2025 · NREL leverages in-house expertise in this field to enable parameter estimation for complex systems, physics-informed machine learning, multiple model fidelity optimization, …

These energy models cover various levels of a system with a varying degree of granularity and accuracy, which includes CPU-level, system-level, and parallel system-level power analysis …

Energy-efficient computing is an essential part of the transition to sustainable technology. The challenges associated with the growing energy demands of computing systems are …

2 days ago · Artificial intelligence is transforming how we manage power, offering solutions to optimize energy consumption across various sectors. Studies suggest that AI-powered energy …

Adopting Artificial Intelligence for optimizing building system controls has gained significant attention due to the growing emphasis on building energy efficiency. However, substantial …

Discover how machine learning is reshaping solar forecasting, uncover the potential of autonomous systems in energy storage, and explore the role of AI in crafting smarter, more …

Energy system optimization involves the application of mathematical and computational techniques to enhance the performance of energy systems. The primary goal is to minimize …

Integrating renewable energy sources, particularly photovoltaic (PV) systems, into modern power systems poses major challenges to maintaining supply-demand balance due to their inherent …

1 day ago · Hybrid systems that combine deep learning (DL) and heuristic optimization approaches facilitate adaptive control systems, such that solar tracking, energy regulation, and …