A Review on Deep Learning Models for Forecasting Time Series Data of Solar Irradiance and Photovoltaic Power

Forecasting Solar PV Output Using Convolutional Neural Networks with a Sliding Window Algorithm

(2020) Vishnu Suresh et al.   Energies

Comparison Analysis of Machine Learning Techniques for Photovoltaic Prediction Using Weather Sensor Data

(2020) Berny Carrera et al.   SENSORS

Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons

(2020) Zhihong Pang et al.   RENEWABLE ENERGY

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

Probabilistic solar irradiance forecasting via a deep learning‐based hybrid approach

(2020) Hui He et al.   IEEJ Transactions on Electrical and Electronic Engineering

Recurrent Neural Network-Based Hourly Prediction of Photovoltaic Power Output Using Meteorological Information

(2019) Donghun Lee et al.   Energies

Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting

(2019) Lulu Wen et al.   ENERGY

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

Multiple Convolutional Neural Networks for Multivariate Time Series Prediction

(2019) Kang Wang et al.   NEUROCOMPUTING

Very short-term solar irradiance forecast using all-sky imaging and real-time irradiance measurements

(2019) M. Caldas et al.   RENEWABLE ENERGY

Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform

(2019) Yao Liu et al.   Applied Sciences-Basel

A Hybrid CNN-LSTM Model for Improving Accuracy of Movie Reviews Sentiment Analysis

(2019) Anwar Ur Rehman et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach

(2019) Li et al.   Energies

Improvement of Short-Term BIPV Power Predictions Using Feature Engineering and a Recurrent Neural Network

(2019) Dongkyu Lee et al.   Energies

A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network

(2019) Kejun Wang et al.   APPLIED ENERGY

A hybrid deep learning model for short-term PV power forecasting

(2019) Pengtao Li et al.   APPLIED ENERGY

Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms

(2019) Sujan Ghimire et al.   APPLIED ENERGY

Hour-Ahead Solar Irradiance Forecasting Using Multivariate Gated Recurrent Units

(2019) Jessica Wojtkiewicz et al.   Energies

Application of CNN-LSTM in Gradual Changing Fault Diagnosis of Rod Pumping System

(2019) Yanfeng He et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study

(2019) Muhammad Aslam et al.   Energies

Photovoltaic power forecasting based LSTM-Convolutional Network

(2019) Kejun Wang et al.   ENERGY

Time series forecasting of solar power generation for large-scale photovoltaic plants

(2019) Hussein Sharadga et al.   RENEWABLE ENERGY

Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM

(2018) Xiangyun Qing et al.   ENERGY

Solar photovoltaic generation forecasting methods: A review

(2018) Sobrina Sobri et al.   ENERGY CONVERSION AND MANAGEMENT

Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models

(2018) Ha Young Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting of photovoltaic power generation and model optimization: A review

(2018) Utpal Kumar Das et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities

(2018) Chiou-Jye Huang et al.   SENSORS

Short-term solar irradiance forecasting via satellite/model coupling

(2018) Steven D. Miller et al.   SOLAR ENERGY

Gated Recurrent Unit Network-Based Short-Term Photovoltaic Forecasting

(2018) Yusen Wang et al.   Energies

Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting

(2018) Fei Wang et al.   Applied Sciences-Basel

Deep photovoltaic nowcasting

(2018) Jinsong Zhang et al.   SOLAR ENERGY

A Hybrid Forecasting Method for Solar Output Power Based on Variational Mode Decomposition, Deep Belief Networks and Auto-Regressive Moving Average

(2018) Tuo Xie et al.   Applied Sciences-Basel

Assessment of deep recurrent neural network-based strategies for short-term building energy predictions

(2018) Cheng Fan et al.   APPLIED ENERGY

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Accurate photovoltaic power forecasting models using deep LSTM-RNN

(2017) Mohamed Abdel-Nasser et al.   NEURAL COMPUTING & APPLICATIONS

Forecasting of solar energy with application for a growing economy like India: Survey and implication

(2017) Sthitapragyan Mohanty et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

On recent advances in PV output power forecast

(2016) Muhammad Qamar Raza et al.   SOLAR ENERGY

A suite of metrics for assessing the performance of solar power forecasting

(2015) Jie Zhang et al.   SOLAR ENERGY

Evaluation of Global Horizontal Irradiance to Plane-of-Array Irradiance Models at Locations Across the United States

(2015) Matthew Lave et al.   IEEE Journal of Photovoltaics

Solar radiation prediction using Artificial Neural Network techniques: A review

(2013) Amit Kumar Yadav et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Artificial intelligence techniques for photovoltaic applications: A review

(2008) Adel Mellit et al.   PROGRESS IN ENERGY AND COMBUSTION SCIENCE