dc.contributor.author | Tapia García, Juan Miguel | |
dc.contributor.author | Baca Ruiz, Luis Gonzaga | |
dc.contributor.author | Criado Ramón, David | |
dc.contributor.author | Pegalajar Jiménez, María Del Carmen | |
dc.date.accessioned | 2024-09-18T10:34:18Z | |
dc.date.available | 2024-09-18T10:34:18Z | |
dc.date.issued | 2024-07-03 | |
dc.identifier.citation | Tapia-García, J.; Ruiz, L.G.B.; Criado-Ramón, D.; Pegalajar, M.C. Big Data Techniques Applied to Forecast Photovoltaic Energy Demand in Spain. Eng. Proc. 2024, 68, 11. https://doi.org/10.3390/engproc2024068011 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10481/94652 | |
dc.description.abstract | Renewable energies play an important role in our society’s development, addressing the
challenges presented by climate change. Specifically, in countries like Spain, technologies such
as solar energy assume a crucial significance, enabling the generation of clean energy. This study
addresses the critical need to accurately predict photovoltaic (PV) energy demand in Spain. By using
the data collected from the Spanish Electricity System, four models (Linear Regression, Random
Forest, Recurrent Neural Network, and LightGBM) were implemented, with adaptations for Big
Data. The LR model proved unsuitable, while the LGBM emerged as the most accurate and timely
performer. The incorporation of Big Data adaptations amplifies the significance of our findings,
highlighting the effectiveness of the LGBM in forecasting PV energy demand with both accuracy
and efficiency. | es_ES |
dc.description.sponsorship | Ministerio de Ciencia e Innovación (Spain)
(Grant PID2020-112495RB-C21 funded by MCIN/AEI/10.13039/501100011033) | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Photovoltaic | es_ES |
dc.subject | Energy demand | es_ES |
dc.subject | Renewable energy | es_ES |
dc.title | Big Data Techniques Applied to Forecast Photovoltaic Energy Demand in Spain | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.3390/engproc2024068011 | |
dc.type.hasVersion | VoR | es_ES |