2020•AGU Fall Meeting AbstractsRequires access

Sensitivity Analysis of Mesoscale-Coupled Large Eddy Simulations for Wind Energy Applications Using Machine Learning Approaches

Colleen Kaul, Larry K. Berg, Zhaoping Hou, Hou Zhou, C. K. Ramesha

Open publisher page 1 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Key concepts: Mesoscale meteorology, Sensitivity (control systems), Energy (signal processing), Meteorology, Computer science, Environmental science, Engineering, Physics

Back to paper search Browse research topics Original source

Sensitivity Analysis of Mesoscale-Coupled Large Eddy Simulations for Wind Energy Applications Using Machine Learning Approaches — Research Paper | ScholarLens