Comparative Study of Univariate and Multivariate Long Short-Term Memory for Very Short-Term Forecasting of Global Horizontal Irradiance

Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis

(2021) Faliang Huang et al.   IEEE Transactions on Neural Networks and Learning Systems

Global horizontal irradiance forecast for Finland based on geostationary weather satellite data

(2020) Viivi Kallio-Myers et al.   SOLAR ENERGY

Financial time series forecasting with deep learning : A systematic literature review: 2005–2019

(2020) Omer Berat Sezer et al.   APPLIED SOFT COMPUTING

Neural machine translation with Gumbel Tree-LSTM based encoder

(2020) Chao Su et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Time series forecasting of COVID-19 transmission in Canada using LSTM networks

(2020) Vinay Kumar Reddy Chimmula et al.   CHAOS SOLITONS & FRACTALS

Direct Normal Irradiance Forecasting Using Multivariate Gated Recurrent Units

(2020) Majid Hosseini et al.   Energies

Extreme gradient boosting and deep neural network based ensemble learning approach to forecast hourly solar irradiance

(2020) Pratima Kumari et al.   JOURNAL OF CLEANER PRODUCTION

Next-Day Prediction of Hourly Solar Irradiance Using Local Weather Forecasts and LSTM Trained with Non-Local Data

(2020) Byung-ki Jeon et al.   Energies

Approximate LSTM Computing for Energy-Efficient Speech Recognition

(2020) Junseo Jo et al.   Electronics

Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs

(2020) Mohamed Abdel-Nasser et al.   IEEE Transactions on Industrial Informatics

Some Applications of ANN to Solar Radiation Estimation and Forecasting for Energy Applications

(2019) Gilles Notton et al.   Applied Sciences-Basel

Time Series ARIMA Model for Prediction of Daily and Monthly Average Global Solar Radiation: The Case Study of Seoul, South Korea

(2019) Mohammed Alsharif et al.   Symmetry-Basel

Day-Ahead Solar Irradiance Forecasting for Microgrids Using a Long Short-Term Memory Recurrent Neural Network: A Deep Learning Approach

(2019) Husein et al.   Energies

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

(2019) Yong Yu et al.   NEURAL COMPUTATION

Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting

(2019) Le et al.   Water

Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach

(2019) Li et al.   Energies

A novel convolutional neural network framework based solar irradiance prediction method

(2019) Na Dong et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data

(2018) Shikhar Srivastava et al.   SOLAR ENERGY

Application of support vector machine models for forecasting solar and wind energy resources: A review

(2018) Alireza Zendehboudi et al.   JOURNAL OF CLEANER PRODUCTION

A Hybrid GA–MLPNN Model for One-Hour-Ahead Forecasting of the Global Horizontal Irradiance in Elizabeth City, North Carolina

(2018) Aydin Jadidi et al.   Energies

Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components

(2018) L. Benali et al.   RENEWABLE ENERGY

k-Nearest Neighbor Neural Network Models for Very Short-Term Global Solar Irradiance Forecasting Based on Meteorological Data

(2017) Chao-Rong Chen et al.   Energies

An unsupervised method for estimating the global horizontal irradiance from photovoltaic power measurements

(2017) Lorenzo Nespoli et al.   SOLAR ENERGY

Empirical investigation on modeling solar radiation series with ARMA–GARCH models

(2015) Huaiwei Sun et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term solar irradiance forecasting using exponential smoothing state space model

(2013) Zibo Dong et al.   ENERGY

Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters

(2012) Fei Wang et al.   Energies

A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy

(2010) Adel Mellit et al.   SOLAR ENERGY