Nature

Investigation of different LSTM-based encoder-decoder neural networks for vehicle speed prediction

In this work, different Long Short-Term Memory (LSTM) encoder-decoder artificial neural networks are investigated. These networks differ in their complexity. The aim of this work is to evaluate ...
Nature

RETRACTED ARTICLE: Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets

Deregulation of the power market has led to increased competition and the need for effective CM strategies. Deregulated power systems are electricity markets that have undergone liberalization and ...
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 ...