Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction

Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cites of queensland Australia

(2019) Sujan Ghimire et al.   JOURNAL OF CLEANER PRODUCTION

Decision analysis to support the choice of a future power generation pathway for Sri Lanka

(2019) De Silva M. Thushara et al.   APPLIED ENERGY

Deep belief network-based AR model for nonlinear time series forecasting

(2019) Wenquan Xu et al.   APPLIED SOFT COMPUTING

Solar radiation estimation methods using ANN and empirical models

(2019) Vassilis Z. Antonopoulos et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: A new approach

(2019) Ravinesh C. Deo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

(2018) Mohanad S. Al-Musaylh et al.   ADVANCED ENGINEERING INFORMATICS

Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting

(2018) Mohanad S. AL-Musaylh et al.   APPLIED ENERGY

An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia

(2018) Sancho Salcedo-Sanz et al.   APPLIED ENERGY

Optimization of sugarcane bagasse pretreatment using Alkaline Hydrogen Peroxide through ANN and ANFIS modelling

(2018) Artur S.C. Rego et al.   BIORESOURCE TECHNOLOGY

Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China

(2018) Junliang Fan et al.   ENERGY CONVERSION AND MANAGEMENT

Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities

(2018) Sujan Ghimire et al.   REMOTE SENSING OF ENVIRONMENT

Application of ANN technique to predict the performance of solar collector systems - A review

(2018) Harish Kumar Ghritlahre et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Feature selection approaches for predictive modelling of groundwater nitrate pollution: An evaluation of filters, embedded and wrapper methods

(2018) V.F. Rodriguez-Galiano et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors

(2018) Ramendra Prasad et al.   SOIL & TILLAGE RESEARCH

Nowcasting solar irradiance using an analog method and geostationary satellite images

(2018) A. Ayet et al.   SOLAR ENERGY

Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology

(2018) Bhargava K Reddy et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Estimation of daily global solar radiation using deep learning model

(2018) Kazım Kaba et al.   ENERGY

Deep belief network based k-means cluster approach for short-term wind power forecasting

(2018) Kejun Wang et al.   ENERGY

Forecasting of solar power ramp events: A post-processing approach

(2018) Mohamed Abuella et al.   RENEWABLE ENERGY

Estimation theory and Neural Networks revisited: REKF and RSVSF as optimization techniques for Deep-Learning

(2018) Mahmoud Ismail et al.   NEURAL NETWORKS

Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical Photosynthetically Active Radiation

(2018) Ravinesh C. Deo et al.   Food and Energy Security

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

Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation

(2018) Ramendra Prasad et al.   APPLIED ENERGY

Deep learning models for bankruptcy prediction using textual disclosures

(2018) Feng Mai et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring

(2017) Yufei Xia et al.   EXPERT SYSTEMS WITH APPLICATIONS

Red tide time series forecasting by combining ARIMA and deep belief network

(2017) Mengjiao Qin et al.   KNOWLEDGE-BASED SYSTEMS

Evaluation of vehicle interior sound quality using a continuous restricted Boltzmann machine-based DBN

(2017) Hai B. Huang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Research on exchange rate forecasting based on deep belief network

(2017) Jing Zheng et al.   NEURAL COMPUTING & APPLICATIONS

Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland

(2017) Ravinesh C. Deo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Multi-site solar power forecasting using gradient boosted regression trees

(2017) Caroline Persson et al.   SOLAR ENERGY

Short-term output power forecasting of photovoltaic systems based on the deep belief net

(2017) Ling-Ling Li et al.   Advances in Mechanical Engineering

A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset

(2016) Ravinesh C. Deo et al.   APPLIED ENERGY

Mutual information based weight initialization method for sigmoidal feedforward neural networks

(2016) Junfei Qiao et al.   NEUROCOMPUTING

Prediction and application of solar radiation with soft computing over traditional and conventional approach – A comprehensive review

(2016) Sthitapragyan Mohanty et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Forecasting short-term solar irradiance based on artificial neural networks and data from neighboring meteorological stations

(2016) Federico-Vladimir Gutierrez-Corea et al.   SOLAR ENERGY

The artificial neural network for solar radiation prediction and designing solar systems: a systematic literature review

(2015) Atika Qazi et al.   JOURNAL OF CLEANER PRODUCTION

Estimation of monthly-mean global solar radiation using MODIS atmospheric product over China

(2014) Ji-Long Chen et al.   JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS

Time series forecasting using a deep belief network with restricted Boltzmann machines

(2014) Takashi Kuremoto et al.   NEUROCOMPUTING

Use of the NASA Giovanni Data System for Geospatial Public Health Research: Example of Weather-Influenza Connection

(2014) James Acker et al.   ISPRS International Journal of Geo-Information

Methodology for global sensitivity analysis of consequence models

(2013) S.E. Gant et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

Solar radiation prediction using Artificial Neural Network techniques: A review

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

Evaluation of the WRF model solar irradiance forecasts in Andalusia (southern Spain)

(2011) V. Lara-Fanego et al.   SOLAR ENERGY

Interannual variability of solar energy generation in Australia

(2011) Robert J. Davy et al.   SOLAR ENERGY

Estimation of net radiation from the MODIS data under all sky conditions: Southern Great Plains case study

(2010) Gautam Bisht et al.   REMOTE SENSING OF ENVIRONMENT

An integrated artificial neural networks approach for predicting global radiation

(2009) A. Azadeh et al.   ENERGY CONVERSION AND MANAGEMENT

On the development of regionalization relationships for lumped watershed models: The impact of ignoring sub-basin scale variability

(2009) Harald Kling et al.   JOURNAL OF HYDROLOGY