Forecasting Daily Solar Radiation Using CEEMDAN Decomposition-Based MARS Model Trained by Crow Search Algorithm

Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems

(2019) Xiaohu Wen et al.   JOURNAL OF HYDROLOGY

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

Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

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

Time series forecasting of river flow using an integrated approach of wavelet multi-resolution analysis and evolutionary data-driven models. A case study: Sebaou River (Algeria)

(2018) Mousaab Zakhrouf et al.   PHYSICAL GEOGRAPHY

A new empirical model for forecasting the diffuse solar radiation over Sahara in the Algerian Big South

(2018) Nadjem Bailek et al.   RENEWABLE ENERGY

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

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

Usability feature extraction using modified crow search algorithm: a novel approach

(2018) Deepak Gupta et al.   NEURAL COMPUTING & APPLICATIONS

Evaluation of daily solar radiation flux using soft computing approaches based on different meteorological information: peninsula vs continent

(2018) Sungwon Kim et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Multivariate Adaptive Regression Splines Model for Prediction of Local Scour Depth Downstream of an Apron Under 2D Horizontal Jets

(2018) Mohammad Rezaie-Balf   Iranian Journal of Science and Technology-Transactions of Civil Engineering

Application of ensemble empirical mode decomposition based on machine learning methodologies in forecasting monthly pan evaporation

(2018) Mohammad Rezaie-Balf et al.   HYDROLOGY RESEARCH

Wind power prediction using hybrid autoregressive fractionally integrated moving average and least square support vector machine

(2017) Xiaohui Yuan et al.   ENERGY

A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting

(2017) Wenyu Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Wavelet coupled MARS and M5 Model Tree approaches for groundwater level forecasting

(2017) Mohammad Rezaie-balf et al.   JOURNAL OF HYDROLOGY

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

Prediction of diffuse solar irradiance using machine learning and multivariable regression

(2016) Siwei Lou et al.   APPLIED ENERGY

A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm

(2016) Alireza Askarzadeh   COMPUTERS & STRUCTURES

Artificial neural network optimisation for monthly average daily global solar radiation prediction

(2016) Emanuel Federico Alsina et al.   ENERGY CONVERSION AND MANAGEMENT

Prediction of solar radiation in China using different adaptive neuro-fuzzy methods and M5 model tree

(2016) Lunche Wang et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Evaluation of empirical models for predicting monthly mean horizontal diffuse solar radiation

(2016) Milan Despotovic et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Estimation of the daily global solar radiation based on Box–Jenkins and ANN models: A combined approach

(2016) Kacem Gairaa et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Identifying the most significant input parameters for predicting global solar radiation using an ANFIS selection procedure

(2016) Kasra Mohammadi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A novel hybrid model based on artificial neural networks for solar radiation prediction

(2016) Yujie Wu et al.   RENEWABLE ENERGY

Multivariate adaptive regression splines and neural network models for prediction of pile drivability

(2016) Wengang Zhang et al.   Geoscience Frontiers

A maximum entropy method to assess the predictability of financial and commodity prices

(2015) F. Benedetto et al.   DIGITAL SIGNAL PROCESSING

New horizontal global solar radiation estimation models for Turkey based on robust coplot supported genetic programming technique

(2015) Haydar Demirhan et al.   ENERGY CONVERSION AND MANAGEMENT

A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation

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

Solar irradiation mapping with exogenous data from support vector regression machines estimations

(2015) J. Antonanzas et al.   ENERGY CONVERSION AND MANAGEMENT

Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: A case of the Belice River basin (western Sicily, Italy)

(2015) Christian Conoscenti et al.   GEOMORPHOLOGY

Daily global solar radiation prediction from air temperatures using kernel extreme learning machine: A case study for Iran

(2015) Shahaboddin Shamshirband et al.   JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS

Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree

(2015) Ozgur Kisi   JOURNAL OF HYDROLOGY

Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria

(2015) Lanre Olatomiwa et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review of validation methodologies and statistical performance indicators for modeled solar radiation data: Towards a better bankability of solar projects

(2014) Christian A. Gueymard   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Solar radiation prediction using Artificial Neural Network techniques: A review

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

Multivariate adaptive regression splines for analysis of geotechnical engineering systems

(2012) W.G. Zhang et al.   COMPUTERS AND GEOTECHNICS

Comparison of Gene Expression Programming with neuro-fuzzy and neural network computing techniques in estimating daily incoming solar radiation in the Basque Country (Northern Spain)

(2012) Gorka Landeras et al.   ENERGY CONVERSION AND MANAGEMENT

Discrete wavelet-based trend identification in hydrologic time series

(2012) Yan-Fang Sang et al.   HYDROLOGICAL PROCESSES

Short-term solar power prediction using a support vector machine

(2012) Jianwu Zeng et al.   RENEWABLE ENERGY

A robust data mining approach for formulation of geotechnical engineering systems

(2011) Amir Hossein Alavi et al.   ENGINEERING COMPUTATIONS

A refined index of model performance

(2011) Cort J. Willmott et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Estimation of monthly solar radiation from measured temperatures using support vector machines – A case study

(2010) Ji-Long Chen et al.   RENEWABLE ENERGY

Application of the EEMD method to rotor fault diagnosis of rotating machinery

(2008) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Artificial neural network estimation of global solar radiation using air temperature and relative humidity

(2007) Shafiqur Rehman et al.   ENERGY POLICY

Prediction of compressive and tensile strength of limestone via genetic programming

(2007) A BAYKASOGLU et al.   EXPERT SYSTEMS WITH APPLICATIONS