Comparison of machine learning and dynamic models for predicting actual vapour pressure when psychrometric data are unavailable

Evapotranspiration estimation using a modified crop coefficient model in a rotated rice-winter wheat system

(2022) Rangjian Qiu et al.   AGRICULTURAL WATER MANAGEMENT

Generalized Extreme Gradient Boosting model for predicting daily global solar radiation for locations without historical data

(2022) Rangjian Qiu et al.   ENERGY CONVERSION AND MANAGEMENT

US natural gas consumption prediction using an improved kernel-based nonlinear extension of the Arps decline model

(2020) Hongfang Lu et al.   ENERGY

Prediction of actual evapotranspiration by artificial neural network models using data from a Bowen ratio energy balance station

(2020) Spencer Walls et al.   NEURAL COMPUTING & APPLICATIONS

Plant responses to rising vapor pressure deficit

(2020) Charlotte Grossiord et al.   NEW PHYTOLOGIST

Performance of statistical and machine learning ensembles for daily temperature downscaling

(2020) Xinyi Li et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Evapotranspiration and crop coefficient of tomato grown in a solar greenhouse under full and deficit irrigation

(2020) Xuewen Gong et al.   AGRICULTURAL WATER MANAGEMENT

A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets

(2020) Gholamreza Memarzadeh et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network

(2020) Sinvaldo Rodrigues Moreno et al.   ENERGY CONVERSION AND MANAGEMENT

Reference grass evapotranspiration with reduced data sets: Parameterization of the FAO Penman-Monteith temperature approach and the Hargeaves-Samani equation using local climatic variables

(2020) P. Paredes et al.   AGRICULTURAL WATER MANAGEMENT

Deterministic and probabilistic multi-step forecasting for short-term wind speed based on secondary decomposition and a deep learning method

(2020) Ling Xiang et al.   ENERGY CONVERSION AND MANAGEMENT

Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors

(2020) Seyed Amir Naghibi et al.   JOURNAL OF HYDROLOGY

Potential of kernel-based nonlinear extension of Arps decline model and gradient boosting with categorical features support for predicting daily global solar radiation in humid regions

(2019) Lifeng Wu et al.   ENERGY CONVERSION AND MANAGEMENT

Computing FAO56 reference grass evapotranspiration PM-ETo from temperature with focus on solar radiation

(2019) P. Paredes et al.   AGRICULTURAL WATER MANAGEMENT

Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions

(2019) Guomin Huang et al.   JOURNAL OF HYDROLOGY

Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration

(2019) Lifeng Wu et al.   PLoS One

Evaluation of six equations for daily reference evapotranspiration estimating using public weather forecast message for different climate regions across China

(2019) Yang Yang et al.   AGRICULTURAL WATER MANAGEMENT

Evapotranspiration estimation using a modified Priestley-Taylor model in a rice-wheat rotation system

(2019) Rangjian Qiu et al.   AGRICULTURAL WATER MANAGEMENT

Maximizing leaf carbon gain in varying saline conditions: An optimization model with dynamic mesophyll conductance

(2019) Rangjian Qiu et al.   PLANT JOURNAL

Energy partitioning and evapotranspiration over a rotated paddy field in Southern China

(2019) Bo Liu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Evaluation of temperature-based machine learning and empirical models for predicting daily global solar radiation

(2019) Yu Feng et al.   ENERGY CONVERSION AND MANAGEMENT

Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China

(2019) Lifeng Wu et al.   JOURNAL OF HYDROLOGY

Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data

(2019) Sevim Seda Yamaç et al.   AGRICULTURAL WATER MANAGEMENT

Estimation of daily dew point temperature by using bat algorithm optimization based extreme learning machine

(2019) Jianhua Dong et al.   APPLIED THERMAL ENGINEERING

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

Temperature-based modeling of reference evapotranspiration using several artificial intelligence models: application of different modeling scenarios

(2018) Hadi Sanikhani et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China

(2018) Junliang Fan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Evaluation of artificial intelligence models for actual crop evapotranspiration modeling in mulched and non-mulched maize croplands

(2018) Dahua Tang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Daily pan evaporation modeling from local and cross-station data using three tree-based machine learning models

(2018) Xianghui Lu et al.   JOURNAL OF HYDROLOGY

Short-term forecasting of daily reference evapotranspiration using the reduced-set Penman-Monteith model and public weather forecasts

(2018) Yang Yang et al.   AGRICULTURAL WATER MANAGEMENT

Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning

(2018) Mandeep Kaur Saggi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Next generation prediction model for daily solar radiation on horizontal surface using a hybrid neural network and simulated annealing method

(2017) Seyyed Mohammad Mousavi et al.   ENERGY CONVERSION AND MANAGEMENT

A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm

(2017) Ibrahim Anwar Ibrahim et al.   ENERGY CONVERSION AND MANAGEMENT

Verification and predicting temperature and humidity in a solar greenhouse based on convex bidirectional extreme learning machine algorithm

(2017) Weidong Zou et al.   NEUROCOMPUTING

Daily reference crop evapotranspiration with reduced data sets in the humid environments of Azores islands using estimates of actual vapor pressure, solar radiation, and wind speed

(2017) P. Paredes et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Multi-scale evapotranspiration of summer maize and the controlling meteorological factors in north China

(2016) Baozhong Zhang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Short-term forecasting of daily reference evapotranspiration using the Penman-Monteith model and public weather forecasts

(2016) Yang Yang et al.   AGRICULTURAL WATER MANAGEMENT

Modeling reference evapotranspiration using three different heuristic regression approaches

(2016) Ozgur Kisi   AGRICULTURAL WATER MANAGEMENT

Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine

(2016) Milan Gocic et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships

(2016) Robert P. Sheridan et al.   Journal of Chemical Information and Modeling

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Bioactive Molecule Prediction Using Extreme Gradient Boosting

(2016) Ismail Babajide Mustapha et al.   MOLECULES

Predicting the oil production using the novel multivariate nonlinear model based on Arps decline model and kernel method

(2016) Xin Ma et al.   NEURAL COMPUTING & APPLICATIONS

Daily Reference Evapotranspiration for Hyper-Arid to Moist Sub-Humid Climates in Inner Mongolia, China: I. Assessing Temperature Methods and Spatial Variability

(2016) Xiaodong Ren et al.   WATER RESOURCES MANAGEMENT

Support vector machine based modeling of evapotranspiration using hydro-climatic variables in a sub-tropical environment

(2015) N.K. Shrestha et al.   AGRICULTURAL AND FOREST METEOROLOGY

Assessing the SIMDualKc model for estimating evapotranspiration of hot pepper grown in a solar greenhouse in Northwest China

(2015) Rangjian Qiu et al.   AGRICULTURAL SYSTEMS

Comparison of dual crop coefficient method and Shuttleworth–Wallace model in evapotranspiration partitioning in a vineyard of northwest China

(2015) Peng Zhao et al.   AGRICULTURAL WATER MANAGEMENT

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia

(2015) Ravinesh C. Deo et al.   ATMOSPHERIC RESEARCH

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

(2015) Shafika Sultan Abdullah et al.   JOURNAL OF HYDROLOGY

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

(2015) Ozgur Kisi   JOURNAL OF HYDROLOGY

Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models

(2015) Ravinesh C. Deo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines

(2014) Min-Yuan Cheng et al.   APPLIED SOFT COMPUTING

DrinC: a software for drought analysis based on drought indices

(2014) Dimitris Tigkas et al.   Earth Science Informatics

Estimation of ETo with Hargreaves–Samani and FAO-PM temperature methods for a wide range of climates in Iran

(2013) Tayeb Raziei et al.   AGRICULTURAL WATER MANAGEMENT

Application of extreme learning machine for estimating solar radiation from satellite data

(2013) Mehmet Şahin et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Reference evapotranspiration estimate with limited weather data across a range of Mediterranean climates

(2012) Mladen Todorovic et al.   JOURNAL OF HYDROLOGY

Determination of ultimate capacity of driven piles in cohesionless soil: A Multivariate Adaptive Regression Spline approach

(2011) Pijush Samui   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Comparative analysis of 31 reference evapotranspiration methods under humid conditions

(2011) Hossein Tabari et al.   IRRIGATION SCIENCE

Performance Evaluation of ANN and ANFIS Models for Estimating Garlic Crop Evapotranspiration

(2010) Hamid Zare Abyaneh et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Comparison of three evapotranspiration models to Bowen ratio-energy balance method for a vineyard in an arid desert region of northwest China

(2008) Baozhong Zhang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data

(2008) M. Jabloun et al.   AGRICULTURAL WATER MANAGEMENT