Stacked LSTM sequence-to-sequence autoencoder with feature selection for daily solar radiation prediction: A review and new modeling results
We review the latest modeling techniques and propose new hybrid SAELSTM framework
based on Deep Learning (DL) to construct prediction intervals for daily Global Solar …
based on Deep Learning (DL) to construct prediction intervals for daily Global Solar …
[HTML][HTML] A comprehensive review on multiple hybrid deep learning approaches for stock prediction
Numerous recent studies have attempted to create efficient mechanical trading systems
through the use of machine learning approaches for stock price estimation and portfolio …
through the use of machine learning approaches for stock price estimation and portfolio …
MLP-based Learnable Window Size for Bitcoin price prediction
Over the past few years, Bitcoin price prediction has been changed to a big challenge for
investors on cryptocurrencies. In this regard, Neural Networks as a strong structure for …
investors on cryptocurrencies. In this regard, Neural Networks as a strong structure for …
LSTM-ReGAT: A network-centric approach for cryptocurrency price trend prediction
C Zhong, W Du, W Xu, Q Huang, Y Zhao… - Decision Support …, 2023 - Elsevier
Predicting price trends of cryptocurrencies is a challenging task due to the highly speculative
cryptocurrency market. Prior studies mainly investigate predictors such as historical trading …
cryptocurrency market. Prior studies mainly investigate predictors such as historical trading …
[HTML][HTML] Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia
This study proposes a new hybrid deep learning (DL) model, the called CSVR, for Global
Solar Radiation (GSR) predictions by integrating Convolutional Neural Network (CNN) with …
Solar Radiation (GSR) predictions by integrating Convolutional Neural Network (CNN) with …
[HTML][HTML] Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Global solar radiation (GSR) prediction plays an essential role in planning, controlling and
monitoring solar power systems. However, its stochastic behaviour is a significant challenge …
monitoring solar power systems. However, its stochastic behaviour is a significant challenge …
State-of-the-art in 1d convolutional neural networks: A survey
Deep learning architectures have brought about new heights in computer vision, with the
most common approach being the Convolutional Neural Network (CNN). Through CNN …
most common approach being the Convolutional Neural Network (CNN). Through CNN …
Water quality prediction in the luan river based on 1-drcnn and bigru hybrid neural network model
J Yan, J Liu, Y Yu, H Xu - Water, 2021 - mdpi.com
The current global water environment has been seriously damaged. The prediction of water
quality parameters can provide effective reference materials for future water conditions and …
quality parameters can provide effective reference materials for future water conditions and …
[HTML][HTML] Models used to characterise blockchain features. A systematic literature review and bibliometric analysis
Blockchain has emerged as an innovative technology with potential to transform business
management, through operational efficiency improvements. Nevertheless, several …
management, through operational efficiency improvements. Nevertheless, several …
Deep learning for Bitcoin price direction prediction: models and trading strategies empirically compared
This paper applies deep learning models to predict Bitcoin price directions and the
subsequent profitability of trading strategies based on these predictions. The study …
subsequent profitability of trading strategies based on these predictions. The study …