Work

A comparative study of machine learning and Kriging: Improving wind resource assessment in data-scarce, monsoon-affected regions

Year: 2026

Type: article

Source: Remote Sensing Applications Society and Environment

DOI: 10.1016/j.rsase.2026.101909

Authors: Nurry Widya Hesty, Dionysius Aldion Renata, Bono Pranoto, Prima Trie Wijaya, Rudi Purwo Wijayanto, Didik Rostyono, Silvy Rahmah Fithri, Vetri Nurliyanti, Agus Nurrohim, Erwin Siregar, Arief Heru Kuncoro

Institutions: National Research and Innovation Agency, Institut Teknologi Indonesia, IPB University

Language: English

Topic: Wind Energy Research and Development

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Aeronautics and Space Administration, Badan Riset dan Inovasi Nasional, Langley Research Center

OpenAlex ID: W7127039032

FWCI: 2.809

Cites: 72

Cited by: 1

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