28 citations · 106 across the 15 of their papers we have counts for
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Detection of Clouds in Multiple Wind Velocity Fields using Ground-based Infrared Sky Images
Guillermo Terrén-Serrano, Manel Martínez-Ramón
Horizontal atmospheric wind shear causes wind velocity fields to have different directions and speeds. In images of clouds acquired using ground-based sky imagers, clouds may be mo…
Wind Flow Estimation in Thermal Sky Images for Sun Occlusion Prediction
Guillermo Terrén-Serrano, Manel Martínez-Ramón
Moving clouds affect the global solar irradiance that reaches the surface of the Earth. As a consequence, the amount of resources available to meet the energy demand in a smart gri…
Segmentation Algorithms for Ground-Based Infrared Cloud Images
Guillermo Terrén-Serrano, Manel Martínez-Ramón
The increasing number of Photovoltaic (PV) systems connected to the power grid are vulnerable to the projection of shadows from moving clouds. Global Solar Irradiance (GSI) forecas…
Explicit Basis Function Kernel Methods for Cloud Segmentation in Infrared Sky Images
Guillermo Terrén-Serrano, Manel Martínez-Ramón
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. We pre…
Data acquisition and image processing for solar irradiance forecasting
Guillermo Terrén-Serrano, Manel Martínez-Ramón
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. Very short-term forecast of solar…
Comparative Analysis of Methods for Cloud Segmentation in Ground-Based Infrared Images
Guillermo Terrén-Serrano, Manel Martínez-Ramón
The increasing penetration of photovoltaic systems in the power grid makes it vulnerable to cloud shadow projection. Real-time cloud segmentation in ground-based infrared images is…
Multi-Layer Wind Velocity Field Visualization in Infrared Images of Clouds for Solar Irradiance Forecasting
Guillermo Terrén-Serrano, Manel Martínez-Ramón
The energy available in a solar energy powered grid is uncertain due to the weather conditions at the time of generation. Forecasting global solar irradiance could address this pro…
Time accelerated image super-resolution using shallow residual feature representative network
Meenu Ajith, Aswathy Rajendra Kurup, Manel Martínez-Ramón
The recent advances in deep learning indicate significant progress in the field of single image super-resolution. With the advent of these techniques, high-resolution image with hi…