Electricity is playing an increasing role as we look to develop low carbon sources of energy. Get ahead in this exciting field and develop your understanding of how electrical networks will be ...
CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...
Abstract: This paper proposes a harmonic mitigation framework for multi-bus microgrids (MGs) that utilizes a communication-driven learning-based approach. A dedicated neural network is used to model ...
Abstract: The increasing frequency and sophistication of cyberattacks on smart grid infrastructures have raised critical concerns over data integrity, operational resilience, and real-time response ...
CALIFORNIA CITY — The City Council has voted to table a proposed agreement with Verdant Microgrid, LLC for energy services via microgrids on vacant land owned by the city until the agreement can be ...
[2026/01/05] Minor updates to the training and evaluation scripts; fixed bugs, cleaned the dataset, updated dataset links, and revised the installation guide. [2025/07/07] Updated the custom dataset ...
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