A comprehensive review of artificial intelligence-based methods for predicting pan evaporation rate

M Abed, MA Imteaz, AN Ahmed - Artificial Intelligence Review, 2023 - Springer
This comprehensive study reviews the latest and most popular artificial intelligence (AI)
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …

Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran

R Moazenzadeh, B Mohammadi… - Engineering …, 2018 - Taylor & Francis
Evaporation accounts for varying shares of water balance under different climatic conditions,
and its correct prediction poses a significant challenge before water resources management …

Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM–A new approach

LB Ferreira, FF da Cunha, RA de Oliveira… - Journal of …, 2019 - Elsevier
Reference evapotranspiration (ET o) is a variable of great importance for several purposes,
such as hydrological studies and irrigation scheduling. The FAO-56 Penman-Monteith (FAO …

Evaluation of stacking and blending ensemble learning methods for estimating daily reference evapotranspiration

T Wu, W Zhang, X Jiao, W Guo, YA Hamoud - Computers and Electronics in …, 2021 - Elsevier
Precise reference evapotranspiration (ETo) estimation and prediction are the first steps to
realize efficient agricultural water resources management. As machine learning methods are …

Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data

Y Feng, Y Peng, N Cui, D Gong, K Zhang - Computers and Electronics in …, 2017 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is essential to agricultural water
management. The present study developed two artificial intelligence models for daily ET 0 …

CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China

Y Zhang, Z Zhao, J Zheng - Journal of Hydrology, 2020 - Elsevier
Establishing a computational model for accurate prediction of reference crop
evapotranspiration (ET 0) is critical for regional water resources planning and irrigation …

Daily water level forecasting using wavelet decomposition and artificial intelligence techniques

Y Seo, S Kim, O Kisi, VP Singh - Journal of Hydrology, 2015 - Elsevier
Reliable water level forecasting for reservoir inflow is essential for reservoir operation. The
objective of this paper is to develop and apply two hybrid models for daily water level …

A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran

B Jahani, B Mohammadi - Theoretical and Applied Climatology, 2019 - Springer
The present study generally aims to provide a comparison between the performance and
suitability of different types of models for estimation of daily global solar radiation in Iran …

Stacking machine learning models versus a locally weighted linear model to generate high-resolution monthly precipitation over a topographically complex area

O Zandi, B Zahraie, M Nasseri, A Behrangi - Atmospheric Research, 2022 - Elsevier
This study applied a stacked generalization ensemble approach to generate high-resolution
precipitation estimates and compared its performance with an optimized local weighted …

On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction

A Ghaemi, M Rezaie-Balf, J Adamowski, O Kisi… - Agricultural and Forest …, 2019 - Elsevier
Accurate pan evaporation (E pan) prediction is a critical issue in water resources
management, particularly when designing and managing rural water resource systems, and …