Empreu aquest identificador per citar o enllaçar aquest ítem:
http://hdl.handle.net/10609/102372
Títol: | Predicting energy generation using forecasting techniques in Catalan reservoirs |
Autoria: | Parada Medina, Raúl ![]() Font Marcé, Jordi ![]() Casas-Roma, Jordi ![]() |
Altres: | Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3) |
Citació: | Parada Medina, R., Font, J. & Casas-Roma, J. (2019). Predicting energy generation using forecasting techniques in Catalan reservoirs. Energies, 12(10), 1-21. doi: 10.3390/en12101832 |
Resum: | Reservoirs are natural or artificial lakes used as a source of water supply for society daily applications. In addition, hydroelectric power plants produce electricity while water flows through the reservoir. However, reservoirs are limited natural resources since water levels vary according to annual rainfalls and other natural events, and consequently, the energy generation. Therefore, forecasting techniques are helpful to predict water level, and thus, electricity production. This paper examines state-of-the-art methods to predict the water level in Catalan reservoirs comparing two approaches: using the water level uniquely, uni-variant; and adding meteorological data, multi-variant. With respect to relating works, our contribution includes a longer times series prediction keeping a high precision. The results return that combining Support Vector Machine and the multi-variant approach provides the highest precision with an R2 value of 0.99. |
Paraules clau: | Forecasting Reservoir Series analysis |
DOI: | 10.3390/en12101832 |
Tipus de document: | info:eu-repo/semantics/article |
Versió del document: | info:eu-repo/semantics/publishedVersion |
Data de publicació: | 14-mai-2019 |
Llicència de publicació: | http://creativecommons.org/licenses/by/3.0 ![]() |
Apareix a les col·leccions: | Articles cientÍfics Articles |
Arxius per aquest ítem:
Arxiu | Descripció | Mida | Format | |
---|---|---|---|---|
energy_catalan_reservoirs.pdf | 1,14 MB | Adobe PDF | ![]() Veure/Obrir |
Comparteix:
![]( /image/googleScholar.png)
![](/image/microsoftAcademic.png)
Els ítems del Repositori es troben protegits per copyright, amb tots els drets reservats, sempre i quan no s’indiqui el contrari.