most citedMulti-Layer Wind Velocity Field Visualization in Infrared Images of Clouds for Solar Irradiance Forecasting

28 citations · 104 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2021★ 23 cited

Review of Kernel Learning for Intra-Hour Solar Forecasting with Infrared Sky Images and Cloud Dynamic Feature Extraction

Guillermo Terrén-Serrano, Manel Martínez-Ramón

The uncertainty of the energy generated by photovoltaic systems incurs an additional cost for a guaranteed, reliable supply of energy (i.e., energy storage). This investigation aim…

eess.IV2021★ 9 cited

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…

eess.IV2021

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…

astro-ph.IM2021★ 4 cited

Geospatial Perspective Reprojections for Ground-Based Sky Imaging System

Guillermo Terrén-Serrano, Manel Martínez-Ramón

Sky imaging systems use lenses to acquire images concentrating light beams in a sensor. The light beams received by the sky imager have an elevation angle with respect to the devic…

eess.IV2021★ 1 cited

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…

eess.IV2021

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…

astro-ph.IM2021★ 10 cited

Processing of Global Solar Irradiance and Ground-Based Infrared Sky Images for Solar Nowcasting and Intra-Hour Forecasting Applications

Guillermo Terrén-Serrano, Manel Martínez-Ramón

The projection of shadows from moving clouds in the troposphere impacts energy generation in power grids using photovoltaic systems. This investigation proposes an efficient method…

eess.IV2020★ 10 cited

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…

eess.IV2020★ 19 cited

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…

eess.IV2020★ 28 cited

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…