EE World Online

How do ML and AI work in power conversion? part 1

The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...
Morning Overview on MSN

Photonic AI chip targets faster convolutions with far less energy

Engineers at the University of Florida have built a photonic chip that performs convolutions, the most compute-heavy ...
Devdiscourse

From transformers to microgrids: AI expands across critical energy infrastructure

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...
pv magazine International

PV module fault detection technique based on convolutional neural network

A group of researchers led by the University of Sharjah in the UAE proposed to use the convolutional neural network (CNN) technique to detect temperature and shading-induced faults in PV modules. CNN ...
Embedded

Understanding convolutional neural networks

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...