Deep learning-based forecasting of aggregated CSP production

Autor: Emilio Pérez, Jorge Segarra-Tamarit, Eric Moya, Héctor Beltrán, Pablo Ayuso

Publikováno v: Repositori Universitat Jaume I
Universitat Jaume I

This paper introduces deep learning-based forecasting models for the continuous prediction of the aggregated production generated by CSP plants in Spain. These models use as inputs the expected top of atmosphere irradiance values and available weathe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd007cb51a61d795c9639aa563f24c30
https://doi.org/10.1016/j.matcom.2020.02.007

A deep learning model for intra-day forecasting of solar irradiance using satellite-based estimations in the vicinity of a PV power plant

Autor: Héctor Beltrán, Jorge Segarra-Tamarit, Emilio Pérez, Javier Pérez

This work proposes an intra-day forecasting model, which does not require to be trained or fed with real-time data measurements, for global horizontal irradiance (GHI) at a given location. The proposed model uses a series of time-dependant irradiance

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::248467f8c637fd7150e3dac95b16583d

Battery size determination for photovoltaic capacity firming using deep learning irradiance forecasts

Autor: Javier Cardo-Miota, Emilio Pérez, Héctor Beltrán, Jorge Segarra-Tamarit

Large photovoltaic (PV) power plants benefit from the introduction of batteries to increase their dispatchability. Among other services, batteries enable PV plants to firm their hourly energy production and avoid in this way the economic penalties as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48f725c5e5526e1e4151f2109a48e7c3

Optimized battery sizing for merchant solar PV capacity firming in different electricity markets

Autor: Emilio Pérez, J. Cardo-Miota, Héctor Beltrán, Pablo Ayuso, Jorge Segarra-Tamarit

Publikováno v: Repositori Universitat Jaume I
Universitat Jaume I
IECON

Comunicació presentada a IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society (Lisbon, Portugal 14-17 Oct. 2019) This work analyses the minimum energy capacity requirements to be demanded to battery energy storage systems u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d279a405cd2140a0ea460c7bd56b6d9
https://doi.org/10.1109/IECON.2019.8927434

Detección automática de fallos mediante monitorización y optimización de las fechas de limpieza para instalaciones fotovoltaicas

Autor: José Luis Gandía, Héctor Beltrán, E. Belenguer, Emilio Pérez, Jorge Segarra-Tamarit

Publikováno v: RUO. Repositorio Institucional de la Universidad de Oviedo
instname
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
RUC. Repositorio da Universidade da Coruña

[Resumen] Este trabajo presenta una propuesta para mejorar la automatización del mantenimiento de plantas fotovoltaicas. Esto se lleva a cabo, por una parte, seleccionando los índices adecuados para la detección de fallos utilizando los datos de m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5158f5d8212aef9fc7de85b3cb5d68de
http://hdl.handle.net/10651/46838