Parameter Optimisation-Based Hybrid Reference Evapotranspiration Prediction Models: A Systematic Review of Current Implementations and Future Research Directions

Parameter Optimisation-Based Hybrid Reference Evapotranspiration Prediction Models: A Systematic Review of Current Implementations and Future Research Directions

A hybrid machine learning (ML) model is becoming a common trend in predicting reference evapotranspiration (ETo) research. This study aims to systematically review ML models that are integrated with meta-heuristic algorithms (i.e., parameter optimisation-based hybrid models, OBH) for predicting ETo...

Full description

Bibliographic Details
Main Authors: Hadeel E. Khairan, Salah L. Zubaidi, Yousif Raad Muhsen, Nadhir Al-Ansari
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Atmosphere
Subjects:
reference evapotranspiration
hybrid model
machine learning
meta-heuristic algorithms
systematic review
Online Access:https://www.mdpi.com/2073-4433/14/1/77

Internet

https://www.mdpi.com/2073-4433/14/1/77

Similar Items