Search Results for author:
Found 9 papers, 6 papers with code
Extreme Scenario Selection in Day-Ahead Power Grid Operational Planning
We propose and analyze the application of statistical functional depth metrics for the selection of extreme scenarios in day-ahead grid planning.
Review of Kernel Learning for Intra-Hour Solar Forecasting with Infrared Sky Images and Cloud Dynamic Feature Extraction
The uncertainty of the energy generated by photovoltaic systems incurs an additional cost for a guaranteed, reliable supply of energy (i. e., energy storage).
Detection of Clouds in Multiple Wind Velocity Fields using Ground-based Infrared Sky Images
The optimal decision criterion to find the number of clusters in the mixture models is analyzed and compared between different Bayesian metrics and a sequential hidden Markov model.
Wind Flow Estimation in Thermal Sky Images for Sun Occlusion Prediction
Moving clouds affect the global solar irradiance that reaches the surface of the Earth.
Segmentation Algorithms for Ground-Based Infrared Cloud Images
The increasing number of Photovoltaic (PV) systems connected to the power grid are vulnerable to the projection of shadows from moving clouds.
Girasol, a Sky Imaging and Global Solar Irradiance Dataset
The energy available in Micro Grid (MG) that is powered by solar energy is tightly related to the weather conditions in the moment of generation.
Explicit Basis Function Kernel Methods for Cloud Segmentation in Infrared Sky Images
Photovoltaic systems are sensitive to cloud shadow projection, which needs to be forecasted to reduce the noise impacting the intra-hour forecast of global solar irradiance.
Processing of Global Solar Irradiance and Ground-Based Infrared Sky Images for Solar Nowcasting and Intra-Hour Forecasting Applications
We explain how to remove cyclostationary biases in global solar irradiance measurements.
Time Series Analysis
Instrumentation and Methods for Astrophysics
Image and Video Processing
Comparative Analysis of Methods for Cloud Segmentation in Ground-Based Infrared Images
The performances of supervised and unsupervised learning methods in cloud segmentation are evaluated.
