Accurate solar PV power prediction interval method based on frequency-domain decomposition and LSTM model

Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction

(2022) Dávid Markovics et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Deep learning neural networks for short-term photovoltaic power forecasting

(2021) A. Mellit et al.   RENEWABLE ENERGY

Short-Term Net Load Forecasting with Singular Spectrum Analysis and LSTM Neural Networks

(2021) Akylas Stratigakos et al.   Energies

Comparison of different simplistic prediction models for forecasting PV power output: Assessment with experimental measurements

(2021) Meng Wang et al.   ENERGY

Prediction of solar energy guided by pearson correlation using machine learning

(2021) Imane Jebli et al.   ENERGY

Probabilistic Residential Load Forecasting Based on Micrometeorological Data and Customer Consumption Pattern

(2021) Lilin Cheng et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Short term solar power forecasting using hybrid minimum variance expanded RVFLN and Sine-Cosine Levy Flight PSO algorithm

(2021) Deepak Ranjan Dash et al.   RENEWABLE ENERGY

A satellite image data based ultra-short-term solar PV power forecasting method considering cloud information from neighboring plant

(2021) Fei Wang et al.   ENERGY

Artificial intelligence-based prediction and analysis of the oversupply of wind and solar energy in power systems

(2021) Mohammad H. Shams et al.   ENERGY CONVERSION AND MANAGEMENT

A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation

(2021) Min Xia et al.   IEEE Transactions on Industrial Informatics

A comprehensive review: Machine learning and its application in integrated power system

(2021) Aanand Kumbhar et al.   Energy Reports

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

(2020) Alex Sherstinsky   PHYSICA D-NONLINEAR PHENOMENA

Advanced Methods for Photovoltaic Output Power Forecasting: A Review

(2020) Adel Mellit et al.   Applied Sciences-Basel

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

Probabilistic wind power forecasting based on spiking neural network

(2020) Huaizhi Wang 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

Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

(2020) Bixuan Gao et al.   RENEWABLE ENERGY

PV power prediction in a peak zone using recurrent neural networks in the absence of future meteorological information

(2020) Donghun Lee et al.   RENEWABLE ENERGY

Spatial Origin-Destination Flow Imputation Using Graph Convolutional Networks

(2020) Xin Yao et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

(2019) Feifei He et al.   APPLIED ENERGY

A review of deep learning for renewable energy forecasting

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

Convolutional Graph Autoencoder: A Generative Deep Neural Network for Probabilistic Spatio-Temporal Solar Irradiance Forecasting

(2019) Mahdi Khodayar et al.   IEEE Transactions on Sustainable Energy

Roller Bearing Degradation Assessment Based on a Deep MLP Convolution Neural Network Considering Outlier Regions

(2019) Dingcheng Zhang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A Data-Driven Soft Sensor Based on Multilayer Perceptron Neural Network With a Double LASSO Approach

(2019) Yajun Fan et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Prediction of short-term PV power output and uncertainty analysis

(2018) Luyao Liu et al.   APPLIED ENERGY

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

(2018) Xiangyun Qing et al.   ENERGY

Reservoir Computing Meets Smart Grids: Attack Detection Using Delayed Feedback Networks

(2018) Kian Hamedani et al.   IEEE Transactions on Industrial Informatics

An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach

(2018) Qiao-Feng Tan et al.   JOURNAL OF HYDROLOGY

Assessment of SVM, empirical and ANN based solar radiation prediction models with most influencing input parameters

(2018) R. Meenal et al.   RENEWABLE ENERGY

Spatio-temporal Graph Deep Neural Network for Short-term Wind Speed Forecasting

(2018) Mahdi Khodayar et al.   IEEE Transactions on Sustainable 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

Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network

(2017) Yu-Rong Zeng et al.   ENERGY

Accurate photovoltaic power forecasting models using deep LSTM-RNN

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

Comparative Study on KNN and SVM Based Weather Classification Models for Day Ahead Short Term Solar PV Power Forecasting

(2017) Fei Wang et al.   Applied Sciences-Basel

Forecasting the daily power output of a grid-connected photovoltaic system based on multivariate adaptive regression splines

(2016) Yanting Li et al.   APPLIED ENERGY

Forecast for surface solar irradiance at the Brazilian Northeastern region using NWP model and artificial neural networks

(2016) Francisco J.L. Lima et al.   RENEWABLE ENERGY

Generation of daily global solar irradiation with support vector machines for regression

(2015) F. Antonanzas-Torres et al.   ENERGY CONVERSION AND MANAGEMENT

Support vector regression based prediction of global solar radiation on a horizontal surface

(2015) Kasra Mohammadi et al.   ENERGY CONVERSION AND MANAGEMENT

Small-scale solar radiation forecasting using ARMA and nonlinear autoregressive neural network models

(2015) Khalil Benmouiza et al.   THEORETICAL AND APPLIED CLIMATOLOGY

A hybrid model (SARIMA–SVM) for short-term power forecasting of a small-scale grid-connected photovoltaic plant

(2013) M. Bouzerdoum et al.   SOLAR ENERGY

Comparing the applications of EMD and EEMD on time–frequency analysis of seismic signal

(2012) Tong Wang et al.   JOURNAL OF APPLIED GEOPHYSICS

SVR with hybrid chaotic genetic algorithms for tourism demand forecasting

(2010) Wei-Chiang Hong et al.   APPLIED SOFT COMPUTING

SPIKING NEURAL NETWORKS

(2009) SAMANWOY GHOSH-DASTIDAR et al.   International Journal of Neural Systems

Predicting solar radiation at high resolutions: A comparison of time series forecasts

(2008) Gordon Reikard   SOLAR ENERGY