Related references
Note: Only part of the references are listed.Spatial modelling the location choice of large-scale solar photovoltaic power plants: Application of interpretable machine learning techniques and the national inventory
Yanwei Sun et al.
ENERGY CONVERSION AND MANAGEMENT (2023)
Land-surface parameters for spatial predictive mapping and modeling
Aaron E. Maxwell et al.
EARTH-SCIENCE REVIEWS (2022)
Generalized Extreme Gradient Boosting model for predicting daily global solar radiation for locations without historical data
Rangjian Qiu et al.
ENERGY CONVERSION AND MANAGEMENT (2022)
Long-term wind speed interpolation using anisotropic regression kriging with regional heterogeneous terrain and solar insolation in the United States
Changyeon Lee
ENERGY REPORTS (2022)
A review of trends and drivers of greenhouse gas emissions by sector from 1990 to 2018
William F. Lamb et al.
ENVIRONMENTAL RESEARCH LETTERS (2021)
A two-layer feature selection method using Genetic Algorithm and Elastic Net
Fatemeh Amini et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Yong Zhou et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
Independent variable selection for regression modeling of the flow duration curve for ungauged basins in the United States
Geoffrey Fouad et al.
JOURNAL OF HYDROLOGY (2020)
Long-term forecasting of wind speed in the UAE using nonlinear canonical correlation analysis (NLCCA)
Haile Woldesellasse et al.
ARABIAN JOURNAL OF GEOSCIENCES (2020)
An optimized feature selection based on genetic approach and support vector machine for heart disease
Chandra Babu Gokulnath et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2019)
A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide
Jie Chen et al.
ENVIRONMENT INTERNATIONAL (2019)
Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform
Zhenyu Zhao et al.
2019 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2019) (2019)
Comparison of different wind data interpolation methods for a region with complex terrain in Central Asia
Katja Reinhardt et al.
CLIMATE DYNAMICS (2018)
National and global wind resource assessment under six wind turbine installation scenarios
Christopher Jung et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Deep assessment of wind speed distribution models: A case study of four sites in Algeria
Nawel Aries et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Relief-based feature selection: Introduction and review
Ryan J. Urbanowicz et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2018)
Feature selection approaches for predictive modelling of groundwater nitrate pollution: An evaluation of filters, embedded and wrapper methods
V. F. Rodriguez-Galiano et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Step away from stepwise
Gary Smith
JOURNAL OF BIG DATA (2018)
Teleconnections and analysis of long-term wind speed variability in the UAE
Mussie Seyoum Naizghi et al.
INTERNATIONAL JOURNAL OF CLIMATOLOGY (2017)
An illustrated introduction to general geomorphometry
Igor V. Florinsky
PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT (2017)
Circa 2010 Land Cover of Canada: Local Optimization Methodology and Product Development
Rasim Latifovic et al.
REMOTE SENSING (2017)
High Spatial Resolution Simulation of Annual Wind Energy Yield Using Near-Surface Wind Speed Time Series
Christopher Jung
ENERGIES (2016)
Statistical learning approach for wind resource assessment
F. Veronesi et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)
Heterogeneous mixture distributions for modeling wind speed, application to the UAE
Ju-Young Shin et al.
RENEWABLE ENERGY (2016)
Comparison of feature selection methods using ANNs in MCP-wind speed methods. A case study
Jose A. Carta et al.
APPLIED ENERGY (2015)
Shape constrained additive models
Natalya Pya et al.
STATISTICS AND COMPUTING (2015)
Geomorphons - a pattern recognition approach to classification and mapping of landforms
Jaroslaw Jasiewicz et al.
GEOMORPHOLOGY (2013)
Spatial prediction of monthly wind speeds in complex terrain with adaptive general regression neural networks
Sylvain Robert et al.
INTERNATIONAL JOURNAL OF CLIMATOLOGY (2013)
Predictor selection for downscaling GCM data with LASSO
Dorra Hammami et al.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2012)
Multiscale Analysis of Topographic Surface Roughness in the Midland Valley, Scotland
Carlos Henrique Grohmann et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2011)
Learning wind fields with multiple kernels
Loris Foresti et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2011)
Spatial Predictions of Extreme Wind Speeds over Switzerland Using Generalized Additive Models
Christophe Etienne et al.
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2010)
About regression-kriging: From equations to case studies
Tomislav Hengl et al.
COMPUTERS & GEOSCIENCES (2007)
Why do we still use stepwise modelling in ecology and behaviour?
Mark J. Whittingham et al.
JOURNAL OF ANIMAL ECOLOGY (2006)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
Gene selection for cancer classification using support vector machines
I Guyon et al.
MACHINE LEARNING (2002)