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Practical Genetic Algorithms

2nd ed., 2004

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Comparison of Implicit vs. Explicit Regime Identification in Machine Learning Methods for Solar Irradiance Prediction

Energies (Basel), 2020-02, Vol.13 (3), p.689

2020

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USING ARTIFICIAL INTELLIGENCE TO IMPROVE REAL-TIME DECISION-MAKING FOR HIGH-IMPACT WEATHER

Bulletin of the American Meteorological Society, 2017-10, Vol.98 (10), p.2073-2090

2017

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WRF-SOLAR: Description and Clear-Sky Assessment of an Augmented NWP Model for Solar Power Prediction

Bulletin of the American Meteorological Society, 2016-07, Vol.97 (7), p.1249-1264

2016

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Paradigms and commonalities in atmospheric source term estimation methods

Atmospheric environment (1994), 2017-05, Vol.156, p.102-112

2017

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The Role of Unresolved Clouds on Short-Range Global Horizontal Irradiance Predictability

Monthly weather review, 2016-09, Vol.144 (9), p.3099-3107

2016

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A Comprehensive Wind Power Forecasting System Integrating Artificial Intelligence and Numerical Weather Prediction

Energies (Basel), 2020-03, Vol.13 (6), p.1372

2020

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Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting

Energies (Basel), 2020-04, Vol.13 (8), p.1979

2020

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Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences

Bulletin of the American Meteorological Society, 2021-05, Vol.102 (5), p.E1016-E1032

2021

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Performance analysis of a 10-MW wind farm in a hot and dusty desert environment. Part 1: Wind resource and power generation evaluation

Sustainable energy technologies and assessments, 2021-10, Vol.47, p.101487, Article 101487

2021

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Recent Trends in Variable Generation Forecasting and Its Value to the Power System

IEEE transactions on sustainable energy, 2015-07, Vol.6 (3), p.924-933

2015

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Assessing Evidence for Weather Regimes Governing Solar Power Generation in Kuwait

Energies (Basel), 2019-12, Vol.12 (23), p.4409

2019

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An Objective Methodology for Configuring and Down-Selecting an NWP Ensemble for Low-Level Wind Prediction

Monthly weather review, 2012-07, Vol.140 (7), p.2270-2286

2012

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Utilizing state estimation to determine the source location for a contaminant

Atmospheric environment (1994), 2012, Vol.46, p.580-589

2012

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An adaptive big data weather system for surface transportation

Transportation research interdisciplinary perspectives, 2019-12, Vol.3, p.100071, Article 100071

2019

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Source Reconstruction of Atmospheric Releases with Limited Meteorological Observations Using Genetic Algorithms

Applied artificial intelligence, 2017-02, Vol.31 (2), p.119-133

2017

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Forecasting ground-level irradiance over short horizons: Time series, meteorological, and time-varying parameter models

Renewable energy, 2017-11, Vol.112, p.474-485

2017

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A hybrid nudging-ensemble Kalman filter approach to data assimilation. Part I: application in the Lorenz system

Tellus. Series A, Dynamic meteorology and oceanography, 2012-12, Vol.64 (1), p.18484-14

2012

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Large-eddy simulation sensitivities to variations of configuration and forcing parameters in canonical boundary-layer flows for wind energy applications

Wind Energy Science, 2018-09, Vol.3 (2), p.589-613

2018

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Volunteers Smooth the Collaboration across the Weather, Water, and Climate Enterprise

Bulletin of the American Meteorological Society, 2022-06, Vol.103 (6), p.445

Haupt, Sue Ellen

2022

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Variable Generation Power Forecasting as a Big Data Problem

IEEE transactions on sustainable energy, 2017-04, Vol.8 (2), p.725-732

2017

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Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms

Monthly weather review, 2019-08, Vol.147 (8), p.2827-2845

2019

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Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing Ensembles

Weather and forecasting, 2017-10, Vol.32 (5), p.1819-1840

2017

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Impact of sensor characteristics on source characterization for dispersion modeling

Measurement : journal of the International Measurement Confederation, 2011-06, Vol.44 (5), p.802-814

2011

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The Regime Dependence of Optimally Weighted Ensemble Model Consensus Forecasts of Surface Temperature

Weather and forecasting, 2008-12, Vol.23 (6), p.1146-1161

2008

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Practical Genetic Algorithms

Comparison of Implicit vs. Explicit Regime Identification in Machine Learning Methods for Solar Irradiance Prediction

USING ARTIFICIAL INTELLIGENCE TO IMPROVE REAL-TIME DECISION-MAKING FOR HIGH-IMPACT WEATHER

WRF-SOLAR: Description and Clear-Sky Assessment of an Augmented NWP Model for Solar Power Prediction

Paradigms and commonalities in atmospheric source term estimation methods

The Role of Unresolved Clouds on Short-Range Global Horizontal Irradiance Predictability

A Comprehensive Wind Power Forecasting System Integrating Artificial Intelligence and Numerical Weather Prediction

Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting

Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences

Performance analysis of a 10-MW wind farm in a hot and dusty desert environment. Part 1: Wind resource and power generation evaluation

Recent Trends in Variable Generation Forecasting and Its Value to the Power System

Assessing Evidence for Weather Regimes Governing Solar Power Generation in Kuwait

An Objective Methodology for Configuring and Down-Selecting an NWP Ensemble for Low-Level Wind Prediction

Utilizing state estimation to determine the source location for a contaminant

An adaptive big data weather system for surface transportation

Source Reconstruction of Atmospheric Releases with Limited Meteorological Observations Using Genetic Algorithms

Forecasting ground-level irradiance over short horizons: Time series, meteorological, and time-varying parameter models

A hybrid nudging-ensemble Kalman filter approach to data assimilation. Part I: application in the Lorenz system

Large-eddy simulation sensitivities to variations of configuration and forcing parameters in canonical boundary-layer flows for wind energy applications

Volunteers Smooth the Collaboration across the Weather, Water, and Climate Enterprise

Variable Generation Power Forecasting as a Big Data Problem

Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms

Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing Ensembles

Impact of sensor characteristics on source characterization for dispersion modeling

The Regime Dependence of Optimally Weighted Ensemble Model Consensus Forecasts of Surface Temperature

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