Short-term probabilistic forecasting models using Beta distributions for photovoltaic plants

This article presents original probabilistic forecasting models for day-ahead hourly energy generation forecasts for a photovoltaic (PV) plant, based on a semi-parametric approach using three deterministic forecasts. Input information of these new models consists of data of hourly weather forecasts...

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Main Authors: L. Alfredo Fernandez-Jimenez, Claudio Monteiro, Ignacio J. Ramirez-Rosado
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723000677
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author L. Alfredo Fernandez-Jimenez
Claudio Monteiro
Ignacio J. Ramirez-Rosado
author_facet L. Alfredo Fernandez-Jimenez
Claudio Monteiro
Ignacio J. Ramirez-Rosado
author_sort L. Alfredo Fernandez-Jimenez
collection DOAJ
description This article presents original probabilistic forecasting models for day-ahead hourly energy generation forecasts for a photovoltaic (PV) plant, based on a semi-parametric approach using three deterministic forecasts. Input information of these new models consists of data of hourly weather forecasts obtained from a Numerical Weather Prediction model and variables related to the sun position for future instants. The proposed models were satisfactorily applied to the case study of a real-life PV plant in Portugal. Probabilistic benchmark models were also applied to the same case study and their forecasting results compared with the ones of the proposed models. The computer results obtained with these proposed models achieve better point and probabilistic forecasting evaluation indexes values than the ones obtained with the benchmark models.
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spelling doaj.art-42962c0b19ac40c2becf5f18631bc6792023-06-07T04:48:47ZengElsevierEnergy Reports2352-48472023-05-019495502Short-term probabilistic forecasting models using Beta distributions for photovoltaic plantsL. Alfredo Fernandez-Jimenez0Claudio Monteiro1Ignacio J. Ramirez-Rosado2Electrical Engineering Department, University of La Rioja, Logroño 26004, Spain; Corresponding author.FEUP, Faculdade Engenharia Universidade do Porto, Porto 4200-465, PortugalElectrical Engineering Department, University of Zaragoza, Zaragoza 50018, SpainThis article presents original probabilistic forecasting models for day-ahead hourly energy generation forecasts for a photovoltaic (PV) plant, based on a semi-parametric approach using three deterministic forecasts. Input information of these new models consists of data of hourly weather forecasts obtained from a Numerical Weather Prediction model and variables related to the sun position for future instants. The proposed models were satisfactorily applied to the case study of a real-life PV plant in Portugal. Probabilistic benchmark models were also applied to the same case study and their forecasting results compared with the ones of the proposed models. The computer results obtained with these proposed models achieve better point and probabilistic forecasting evaluation indexes values than the ones obtained with the benchmark models.http://www.sciencedirect.com/science/article/pii/S2352484723000677Short-term forecastingPV power generationProbabilistic forecastingPhotovoltaic
spellingShingle L. Alfredo Fernandez-Jimenez
Claudio Monteiro
Ignacio J. Ramirez-Rosado
Short-term probabilistic forecasting models using Beta distributions for photovoltaic plants
Energy Reports
Short-term forecasting
PV power generation
Probabilistic forecasting
Photovoltaic
title Short-term probabilistic forecasting models using Beta distributions for photovoltaic plants
title_full Short-term probabilistic forecasting models using Beta distributions for photovoltaic plants
title_fullStr Short-term probabilistic forecasting models using Beta distributions for photovoltaic plants
title_full_unstemmed Short-term probabilistic forecasting models using Beta distributions for photovoltaic plants
title_short Short-term probabilistic forecasting models using Beta distributions for photovoltaic plants
title_sort short term probabilistic forecasting models using beta distributions for photovoltaic plants
topic Short-term forecasting
PV power generation
Probabilistic forecasting
Photovoltaic
url http://www.sciencedirect.com/science/article/pii/S2352484723000677
work_keys_str_mv AT lalfredofernandezjimenez shorttermprobabilisticforecastingmodelsusingbetadistributionsforphotovoltaicplants
AT claudiomonteiro shorttermprobabilisticforecastingmodelsusingbetadistributionsforphotovoltaicplants
AT ignaciojramirezrosado shorttermprobabilisticforecastingmodelsusingbetadistributionsforphotovoltaicplants