Novel Mode Adaptive Artificial Neural Network for Dynamic Learning: Application in Renewable Energy Sources Power Generation Prediction

Comparison of Power Output Forecasting on the Photovoltaic System Using Adaptive Neuro-Fuzzy Inference Systems and Particle Swarm Optimization-Artificial Neural Network Model

(2020) Promphak Dawan et al.   Energies

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

A Comprehensive Wind Power Forecasting System Integrating Artificial Intelligence and Numerical Weather Prediction

(2020) Branko Kosovic et al.   Energies

Multi-aspect renewable energy forecasting

(2020) Roberto Corizzo et al.   INFORMATION SCIENCES

Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation

(2019) Rana Adnan et al.   Energies

A New Hybrid Approach to Forecast Wind Power for Large Scale Wind Turbine Data Using Deep Learning with TensorFlow Framework and Principal Component Analysis

(2019) Mansoor Khan et al.   Energies

Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar

(2019) Amith Khandakar et al.   Energies

Fine-Tuning Meta-Heuristic Algorithm for Global Optimization

(2019) Ziyad T. Allawi et al.   Processes

Hybrid Forecasting Model for Short-Term Wind Power Prediction Using Modified Long Short-Term Memory

(2019) Namrye Son et al.   Energies

Wind power forecasting based on daily wind speed data using machine learning algorithms

(2019) Halil Demolli et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation

(2019) Chi Hua et al.   International Journal of Distributed Sensor Networks

A novel deep learning approach for short-term wind power forecasting based on infinite feature selection and recurrent neural network

(2018) Haijian Shao et al.   Journal of Renewable and Sustainable Energy

An Improved Forecasting Method for Photovoltaic Power Based on Adaptive BP Neural Network with a Scrolling Time Window

(2017) Honglu Zhu et al.   Energies

Metaheuristic design of feedforward neural networks: A review of two decades of research

(2017) Varun Kumar Ojha et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Statistical learning for wind power: A modeling and stability study towards forecasting

(2017) Aurélie Fischer et al.   WIND ENERGY

A New Wind Power Forecasting Approach Based on Conjugated Gradient Neural Network

(2016) Tian Li et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

LASSO vector autoregression structures for very short-term wind power forecasting

(2016) Laura Cavalcante et al.   WIND ENERGY

Machine Learning based short term wind power prediction using a hybrid learning model

(2015) Najeebullah et al.   COMPUTERS & ELECTRICAL ENGINEERING

Modelling and Prediction of Photovoltaic Power Output Using Artificial Neural Networks

(2014) Aminmohammad Saberian et al.   INTERNATIONAL JOURNAL OF PHOTOENERGY