Machine learning‐based statistical downscaling of wind resource maps using multi‐resolution topographical data-Reference-Cited by-同舟云学术

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Machine learning‐based statistical downscaling of wind resource maps using multi‐resolution topographical data

Published:2022-02-22 Issue:6 Volume:25 Page:1121-1141
ISSN:1095-4244
Container-title:Wind Energy
language:en
Short-container-title:Wind Energy

Author:

Oh Myeongchan¹^ORCID,Lee Jehyun¹,Kim Jin‐Young¹,Kim Hyun‐Goo¹

Affiliation:

1. New and Renewable Energy Resource Map Laboratory Korea Institute of Energy Research Daejeon Republic of Korea

Funder

Korea Institute of Energy Research

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/we.2718

Reference48 articles.

1. A comprehensive review of wind resource assessment

2. Wind Resource Estimation-An Overview

3. Determining the Optimized Hub Height of Wind Turbine Using the Wind Resource Map of South Korea

4. Complex terrain experiments in the New European Wind Atlas

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