Classifying rotor-layer wind to reduce offshore available power uncertainty-Reference-Cited by-同舟云学术

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Classifying rotor-layer wind to reduce offshore available power uncertainty

Published:2018-03-12 Issue:7 Volume:21 Page:461-473
ISSN:1095-4244
Container-title:Wind Energy
language:en
Short-container-title:Wind Energy

Author:

St. Pé Alexandra¹^ORCID,Sperling Meredith²,Brodie Joseph F.³^ORCID,Delgado Ruben³

Affiliation:

1. Department of Geography and Environmental Systems; University of Maryland Baltimore County; Baltimore Maryland 21250 USA

2. Department of Mechanical Engineering; University of Maryland Baltimore County; Baltimore Maryland 21250 USA

3. Joint Center for Earth Systems Technology; University of Maryland Baltimore County; Baltimore Maryland 21250 USA

Funder

Maryland Energy Administration Clean Energy Program

JCET Fellowship Program

NOAA Educational Partnership Program

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Reference34 articles.

1. Global wind report: annual market update 2016

2. Henze V Thomas C Record $30bn year for offshore wind but overall investment down 2017

3. Clifton A Smith A Fields M Wind plant preconstruction energy estimates: current practice and opportunities Golden, Colorado 2016 5000 64735

4. Elliott DL Cadogan J Effects of wind shear and turbulence on wind turbine power curves Richland, WA (USA) 1990

5. The influence of the wind speed profile on wind turbine performance measurements;Wagner;Wind Energy,2009

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4. Improvement of wind power prediction from meteorological characterization with machine learning models;Renewable Energy;2022-01

5. Weather Research and Forecasting model validation with NREL specifications over the New York/New Jersey Bight for offshore wind development;OCEANS 2021: San Diego – Porto;2021-09-20

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