3 citations · 3 across the 3 of their papers we have counts for
5 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…
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…
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…