Nature

Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City

Air pollution affects climate change, food production, and human life 1,2,3,4,5,6,7,8. Poor air quality annually leads to about 6.5 million premature deaths worldwide, accounting for about 11.6% of ...
Nature

Global temperature anomaly prediction by using additive twin LSTM networks

Due to the complexity of climate systems, data-driven modeling based on observed time series data is essential for predicting future climatic trends. This study aims to improve the long-term global ...
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 ...