5 citations · 9 across the 7 of their papers we have counts for
9 papers
A Scalable Solution for Running Ensemble Simulations for Photovoltaic Energy
Weiming Hu, Guido Cervone, Matteo Turilli +2
This chapter proposes and provides an in-depth discussion of a scalable solution for running ensemble simulation for solar energy production. Generating a forecast ensemble is comp…
Improving the Thermal Infrared Monitoring of Volcanoes: A Deep Learning Approach for Intermittent Image Series
Jeremy Diaz, Guido Cervone, Christelle Wauthier
Active volcanoes are globally distributed and pose societal risks at multiple geographic scales, ranging from local hazards to regional/international disruptions. Many volcanoes do…
Ill-posed Surface Emissivity Retrieval from Multi-Geometry Hyperspectral Images using a Hybrid Deep Neural Network
Fangcao Xu, Jian Sun, Guido Cervone +1
Atmospheric correction is a fundamental task in remote sensing because observations are taken either of the atmosphere or looking through the atmosphere. Atmospheric correction err…
Weather Analogs with a Machine Learning Similarity Metric for Renewable Resource Forecasting
Weiming Hu, Guido Cervone, George Young +1
The Analog Ensemble (AnEn) technique has been shown effective on several weather problems. Unlike previous weather analogs that are sought within a large spatial domain and an exte…
Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment
Manzhu Yu, Fangcao Xu, Weiming Hu +2
The rising temperature is one of the key indicators of a warming climate, and it can cause extensive stress to biological systems as well as built structures. Due to the heat islan…
Changes in air quality and human mobility in the U.S. during the COVID-19 pandemic
Cristina L. Archer, Guido Cervone, Maryam Golbazi +2
The first goal of this study is to quantify the magnitude and spatial variability of air quality changes in the US during the COVID-19 pandemic. We focus on two federally regulated…
Probabilistic Forecasting using Deep Generative Models
Alessandro Fanfarillo, Behrooz Roozitalab, Weiming Hu +1
The Analog Ensemble (AnEn) method tries to estimate the probability distribution of the future state of the atmosphere with a set of past observations that correspond to the best a…
Harnessing the Power of Many: Extensible Toolkit for Scalable Ensemble Applications
Vivek Balasubramanian, Matteo Turilli, Weiming Hu +5
Many scientific problems require multiple distinct computational tasks to be executed in order to achieve a desired solution. We introduce the Ensemble Toolkit (EnTK) to address th…
Anomalous Gulf Heating and Hurricane Katrinas Rapid Intensification
Menas Kafatos, Ritesh Gautam, Guido Cervone +2
Global warming due to the increasing concentration of greenhouse gases has become a great concern and has been linked to increased hurricane activity associated with higher sea sur…