Search Results for author: Guillermo Terrén-Serrano

Found 8 papers, 3 papers with code

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

no code implementations11 Oct 2021 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).

Detection of Clouds in Multiple Wind Velocity Fields using Ground-based Infrared Sky Images

no code implementations7 May 2021 Guillermo Terrén-Serrano, Manel Martínez-Ramón

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

no code implementations3 Mar 2021 Guillermo Terrén-Serrano, Manel Martínez-Ramón

Moving clouds affect the global solar irradiance that reaches the surface of the Earth.

Segmentation Algorithms for Ground-Based Infrared Cloud Images

1 code implementation19 Feb 2021 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.

Girasol, a Sky Imaging and Global Solar Irradiance Dataset

no code implementations15 Feb 2021 Guillermo Terrén-Serrano, Adnan Bashir, Trilce Estrada, 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.

Explicit Basis Function Kernel Methods for Cloud Segmentation in Infrared Sky Images

1 code implementation12 Feb 2021 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.

Cloud Detection

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

no code implementations21 Jan 2021 Guillermo Terrén-Serrano, Manel Martínez-Ramón

We explain how to remove cyclostationary biases in global solar irradiance measurements.

Time Series Instrumentation and Methods for Astrophysics Image and Video Processing

Comparative Analysis of Methods for Cloud Segmentation in Ground-Based Infrared Images

1 code implementation13 Dec 2020 Guillermo Terrén-Serrano, Manel Martínez-Ramón

The performances of supervised and unsupervised learning methods in cloud segmentation are evaluated.

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