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Mike Optis

united states department of energy (doe)

H指数:21

被引数:1,370

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The AWAKEN wind farm benchmark - Part 2: Modeling results

AWAKEN风电场基准 - 第2部分：模型结果

Wind Energy Science

IF4.9

2026-08-011

PRE

Bodini, Nicola; Moriarty, Patrick; Thedin, Regis; Doubrawa, Paula; Archer, Cristina; Blaylock, Myra; Bottasso, Carlo; Carmo, Bruno; Cheung, Lawrence; Dubreuil, Camille; Floors, Rogier; Herges, Thomas; Houck, Daniel; Kanjari, Ali; Kaul, Colleen M.; Kelley, Christopher; Li, Ru; Lundquist, Julie K.; Major, Desirae; Nguyen, Anh Kiet; Optis, Mike; Parada, Luan R. C.; Pena, Alfredo; Quick, Julian; Ricarte, David; Radunz, William C.; Rai, Raj K.; Garcia-Santiago, Oscar; Schulte, Jonas; Seim, Knut S.; van der Laan, M. Paul; Vimalakanthan, Kisorthman; Wise, Adam

The effects of wind farm wakes on freezing sea spray in the mid-Atlantic offshore wind energy areas

IF4.9

2025-01-080

OA

The 2023 National Offshore Wind data set (NOW-23)

EARTH SYSTEM SCIENCE DATA

IF11.6

2024-04-261

OA

Seasonal variability of wake impacts on US mid-Atlantic offshore wind plant power production

IF4.9

2024-03-1412

OA

Long-term uncertainty quantification in WRF-modeled offshore wind resource off the US Atlantic coast

IF4.9

2023-04-284

OA

Offshore wind energy forecasting sensitivity to sea surface temperature input in the Mid-Atlantic

IF4.9

2023-01-028

OA

The sensitivity of the fitch wind farm parameterization to a three-dimensional planetary boundary layer scheme

IF4.9

2022-10-2113

OA

An independent analysis of bias sources and variability in wind plant pre-construction energy yield estimation methods

IF3.3

2022-07-184

OA

Can reanalysis products outperform mesoscale numerical weather prediction models in modeling the wind resource in simple terrain?

IF4.9

2022-03-0820

OA

Assessing boundary condition and parametric uncertainty in numerical-weather-prediction-modeled, long-term offshore wind speed through machine learning and analog ensemble

IF4.9

2021-11-035

OA

Extreme wind shear events in US offshore wind energy areas and the role of induced stratification

IF4.9

2021-08-1030

OA

New methods to improve the vertical extrapolation of near-surface offshore wind speeds

IF4.9

2021-06-1627

OA

Lowering post-construction yield assessment uncertainty through better wind plant power curves

IF3.3

2021-05-114

PRE

Quantifying sensitivity in numerical weather prediction-modeled offshore wind speeds through an ensemble modeling approach

IF3.3

2021-02-0315

OAAI

Operational-based annual energy production uncertainty: are its components actually uncorrelated?

IF4.9

2020-10-315

OA

Can machine learning improve the model representation of turbulent kinetic energy dissipation rate in the boundary layer for complex terrain?

GEOSCIENTIFIC MODEL DEVELOPMENT

IF4.9

2020-09-1620

OA

The importance of round-robin validation when assessing machine-learning-based vertical extrapolation of wind speeds

IF4.9

2020-04-1721

OA

The importance of atmospheric turbulence and stability in machine-learning models of wind farm power production

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

IF16.3

2019-09-0158

OAAI