Publications by Manel Martínez-Ramón

Deep learning algorithms for very short term solar irradiance forecasting: A survey

All collaborators: Meenu Ajith, Manel Martínez-Ramón

Date: Aug, 2023

Journal Article: Renewable and Sustainable Energy Reviews

Abstract

Electric Load Forecasting Using Multiple Output Gaussian Processes and Multiple Kernel Learning

All collaborators: Alireza Ghasempour, Manel Martínez-Ramón

Date: Jul, 2023

Conference Paper: 2023 IEEE Symposium on Industrial Electronics & Applications (ISIEA)

Abstract

Ensemble models for circuit topology estimation, fault detection and classification in distribution systems

All collaborators: Aswathy Kurup, Adam Summers, Ali Bidram, Matthew Reno, Manel Martínez-Ramón

Date: Jun, 2023

Journal Article: Sustainable Energy, Grids and Networks

Abstract

An unsupervised cyberattack detection scheme for AC microgrids using Gaussian process regression and one‐class support vector machine anomaly detection

All collaborators: Jeewon Choi, Behshad Roshanzadeh, Manel Martínez-Ramón, Ali Bidram

Date: May, 2023

Journal Article: IET Renewable Power Generation

Abstract

Kernel learning for intra-hour solar forecasting with infrared sky images and cloud dynamic feature extraction

All collaborators: Guillermo Terren-Serrano, Manel Martínez-Ramón

Date: Apr, 2023

Journal Article: Renewable and Sustainable Energy Reviews

Abstract

Energy usage and human behavior modeling for residential bottom-up energy simulation

All collaborators: Nestor Pereira, Manel Martínez-Ramón

Date: Jan, 2023

Journal Article: Energy and Buildings

Abstract

Recent Advances in Silicon Solar Cell Research Using Data Science-Based Learning

All collaborators: Rahul Jaiswal, Manel Martínez-Ramón, Tito Busani

Date: Jan, 2023

Journal Article: IEEE Journal of Photovoltaics

Abstract

A conditional one-output likelihood formulation for multitask Gaussian processes

All collaborators: Óscar García Hinde, Manel Martínez-Ramón, Vanessa Gómez Verdejo

Date: Oct, 2022

Journal Article: Neurocomputing

Abstract

Probabilistic Analysis of Solar Cell Performance Using Gaussian Processes

All collaborators: Rahul Jaiswal, Manel Martínez-Ramón, Tito Busani

Date: Feb, 2022

Journal Article: IEEE Journal of Photovoltaics

Abstract

Explicit basis function kernel methods for cloud segmentation in infrared sky images

All collaborators: Guillermo Terren-Serrano, Manel Martínez-Ramón

Date: Nov, 2021

Journal Article: Energy Reports

Abstract

Publications by Manel Martínez-Ramón

Deep learning algorithms for very short term solar irradiance forecasting: A survey

Electric Load Forecasting Using Multiple Output Gaussian Processes and Multiple Kernel Learning

Ensemble models for circuit topology estimation, fault detection and classification in distribution systems

An unsupervised cyberattack detection scheme for AC microgrids using Gaussian process regression and one‐class support vector machine anomaly detection

Kernel learning for intra-hour solar forecasting with infrared sky images and cloud dynamic feature extraction

Energy usage and human behavior modeling for residential bottom-up energy simulation

Recent Advances in Silicon Solar Cell Research Using Data Science-Based Learning

A conditional one-output likelihood formulation for multitask Gaussian processes

Probabilistic Analysis of Solar Cell Performance Using Gaussian Processes

Explicit basis function kernel methods for cloud segmentation in infrared sky images

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