SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting

Improving solar forecasting using Deep Learning and Portfolio Theory integration

(2020) Marcello Anderson F.B. Lima et al.   ENERGY

Very-Short-Term Power Prediction for PV Power Plants Using a Simple and Effective RCC-LSTM Model Based on Short Term Multivariate Historical Datasets

(2020) Biaowei Chen et al.   Electronics

Short-Term Photovoltaic Power Forecasting Using a Convolutional Neural Network–Salp Swarm Algorithm

(2020) Happy Aprillia et al.   Energies

Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine

(2020) Yi Zhou et al.   ENERGY

A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework

(2020) Fei Wang et al.   ENERGY CONVERSION AND MANAGEMENT

A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

(2020) R. Ahmed et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A kernel extreme learning machine-based neural network to forecast very short-term power output of an on-grid photovoltaic power plant

(2020) Ceyhun Yildiz et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

An improved residual-based convolutional neural network for very short-term wind power forecasting

(2020) Ceyhun Yildiz et al.   ENERGY CONVERSION AND MANAGEMENT

Photovoltaic power forecasting based on a support vector machine with improved ant colony optimization

(2020) Mingzhang Pan et al.   JOURNAL OF CLEANER PRODUCTION

Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques

(2019) Muhammad Naveed Akhter et al.   IET Renewable Power Generation

Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network

(2019) Shuang Han et al.   APPLIED ENERGY

Renewable energy prediction: A novel short-term prediction model of photovoltaic output power

(2019) Ling-Ling Li et al.   JOURNAL OF CLEANER PRODUCTION

A SARIMA-RVFL hybrid model assisted by wavelet decomposition for very short-term solar PV power generation forecast

(2019) Vishal Kushwaha et al.   RENEWABLE ENERGY

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

Random forest solar power forecast based on classification optimization

(2019) Da Liu et al.   ENERGY

A review of deep learning for renewable energy forecasting

(2019) Huaizhi Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Photovoltaic power forecasting based LSTM-Convolutional Network

(2019) Kejun Wang et al.   ENERGY

A new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic

(2019) Yagang Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

An adaptive hybrid model for day-ahead photovoltaic output power prediction

(2019) Jinliang Zhang et al.   JOURNAL OF CLEANER PRODUCTION

Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning

(2019) Haixiang Zang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Solar PV output prediction from video streams using convolutional neural networks

(2018) Yuchi Sun et al.   Energy & Environmental Science

Solar photovoltaic generation forecasting methods: A review

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

Short-Term Solar Power Forecasting Based on Weighted Gaussian Process Regression

(2018) Hanmin Sheng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Forecasting of photovoltaic power generation and model optimization: A review

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

Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information

(2018) Abinet Tesfaye Eseye et al.   RENEWABLE ENERGY

Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression

(2018) Muhammad Waseem Ahmad et al.   ENERGY

Hybrid method for short-term photovoltaic power forecasting based on deep convolutional neural network

(2018) Haixiang Zang et al.   IET Generation Transmission & Distribution

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

SVR-Based Model to Forecast PV Power Generation under Different Weather Conditions

(2017) Utpal Das et al.   Energies

Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network

(2017) Huaizhi Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network

(2017) Guangliang Cheng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Accurate photovoltaic power forecasting models using deep LSTM-RNN

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

Short-term reforecasting of power output from a 48 MWe solar PV plant

(2015) Yinghao Chu et al.   SOLAR ENERGY

A methodology based on dynamic artificial neural network for short-term forecasting of the power output of a PV generator

(2014) F. Almonacid et al.   ENERGY CONVERSION AND MANAGEMENT

Artificial neural network-based model for estimating the produced power of a photovoltaic module

(2013) A. Mellit et al.   RENEWABLE ENERGY