Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm

• Published in: Agricultural water management Vol. 237; p. 106145
• Main Authors: Mohammadi, Babak, Mehdizadeh, Saeid
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2020
• Subjects: algorithms; climate; evapotranspiration; Hybrid model; Iran; irrigation scheduling; Pre-processing; principal component analysis; Reference evapotranspiration; regression analysis; Support vector regression; Whale optimization algorithm; Iran; Reference evapotranspiration; Support vector regression; Hybrid model; Whale optimization algorithm; Pre-processing

•Daily reference evapotranspiration was modeled at three stations in Iran.•Model inputs were: air temperatures, relative humidity, solar radiation, sunshine duration, and wind speed.•Pre-processing was used for optimal input identification.•Proposed an approach that couples support vector regression...