The Schaake Shuffle Technique to Combine Solar and Wind Power Probabilistic Forecasting von Alessandrini, Stefano, McCandless, Tyler

Volltext

Surface impacts of large offshore wind farms von Golbazi, Maryam, Archer, Cristina L, Alessandrini, Stefano

Volltext

A Comparison between Analog Ensemble and Convolutional Neural Network Empirical-Statistical Downscaling Techniques for Reconstructing High-Resolution Near-Surface Wind von Rozoff, Christopher M., Alessandrini, Stefano

Volltext

Predicting rare events of solar power production with the analog ensemble von Alessandrini, Stefano

Volltext

The Role of Unresolved Clouds on Short-Range Global Horizontal Irradiance Predictability von Jimenez, Pedro A, Alessandrini, Stefano, Haupt, Sue Ellen, Deng, Aijun, Kosovic, Branko, Lee, Jared A, Monache, Luca Delle

Volltext

A Comprehensive Wind Power Forecasting System Integrating Artificial Intelligence and Numerical Weather Prediction von Kosovic, Branko, Haupt, Sue Ellen, Adriaansen, Daniel, Alessandrini, Stefano, Wiener, Gerry, Delle Monache, Luca, Liu, Yubao, Linden, Seth, Jensen, Tara, Cheng, William, Politovich, Marcia, Prestopnik, Paul

Volltext

A Feed Forward Neural Network Based on Model Output Statistics for Short-Term Hurricane Intensity Prediction von Cloud, Kirkwood A., Reich, Brian J., Rozoff, Christopher M., Alessandrini, Stefano, Lewis, William E., Delle Monache, Luca

Volltext

The “Weather Intelligence for Renewable Energies” Benchmarking Exercise on Short-Term Forecasting of Wind and Solar Power Generation von Sperati, Simone, Alessandrini, Stefano, Pinson, Pierre, Kariniotakis, George

Volltext

Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting von Haupt, Sue Ellen, McCandless, Tyler C., Dettling, Susan, Alessandrini, Stefano, Lee, Jared A., Linden, Seth, Petzke, William, Brummet, Thomas, Nguyen, Nhi, Kosović, Branko, Wiener, Gerry, Hussain, Tahani, Al-Rasheedi, Majed

Volltext

A new Wind Atlas to support the expansion of the Italian wind power fleet von Sperati, Simone, Alessandrini, Stefano, D'Amico, Filippo, Cheng, Will, Rozoff, Christopher M., Bonanno, Riccardo, Lacavalla, Matteo, Aiello, Martina, Airoldi, Davide, Amaranto, Alessandro, Decimi, Goffredo, Vergata, Milena Angelina

Volltext

Predictor-weighting strategies for probabilistic wind power forecasting with an analog ensemble von Junk, Constantin, Delle Monache, Luca, Alessandrini, Stefano, Cervone, Guido, von Bremen, Lueder

Volltext

The Economic Case for Electric Vehicles in Public Sector Fleets: An Italian Case Study von Danielis, Romeo, Scorrano, Mariangela, Giansoldati, Marco, Alessandrini, Stefano

Volltext

An ultra-fast way of searching weather analogs for renewable energy forecasting von Yang, Dazhi, Alessandrini, Stefano

Volltext

A Gridded Solar Irradiance Ensemble Prediction System Based on WRF-Solar EPS and the Analog Ensemble von Alessandrini, Stefano, Kim, Ju-Hye, Jimenez, Pedro A., Dudhia, Jimy, Yang, Jaemo, Sengupta, Manajit

Volltext

The Impact of Stochastic Perturbations in Physics Variables for Predicting Surface Solar Irradiance von Kim, Ju-Hye, Jiménez, Pedro A., Sengupta, Manajit, Dudhia, Jimy, Yang, Jaemo, Alessandrini, Stefano

Volltext

A dry deposition scheme for particulate matter coupled with a well-known Lagrangian Stochastic model for pollutant dispersion von Amicarelli, Andrea, Alessandrini, Stefano, Agate, Giordano, Ferrero, Enrico, Pirovano, Guido, Tinarelli, Gianni Luigi, Trini Castelli, Silvia

Volltext

Short-term photovoltaic power forecasting using Artificial Neural Networks and an Analog Ensemble von Cervone, Guido, Clemente-Harding, Laura, Alessandrini, Stefano, Delle Monache, Luca

Volltext

The Integral Dense-gas Dispersion Model (IDDM) and comparison with Jack Rabbit II data von Weil, Jeffrey C., Alessandrini, Stefano

Volltext

Analog Ensemble Methods for Improving Satellite-Based Intensity Estimates of Tropical Cyclones von Lewis, William E., Olander, Timothy L., Velden, Christopher S., Rozoff, Christopher, Alessandrini, Stefano

Volltext

Estimation of PM2.5 Concentrations in New York State: Understanding the Influence of Vertical Mixing on Surface PM2.5 Using Machine Learning von Hung, Wei-Ting, Lu, Cheng-Hsuan (Sarah), Alessandrini, Stefano, Kumar, Rajesh, Lin, Chin-An

Volltext