Predicting Energy Generation Using Forecasting Techniques in Catalan Reservoirs
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 annu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-05-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/10/1832 |
| _version_ | 1817994556356952064 |
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| author | Raúl Parada Jordi Font Jordi Casas-Roma |
| author_facet | Raúl Parada Jordi Font Jordi Casas-Roma |
| author_sort | Raúl Parada |
| collection | DOAJ |
| description | 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 <inline-formula> <math display="inline"> <semantics> <msup> <mi>R</mi> <mn>2</mn> </msup> </semantics> </math> </inline-formula> value of 0.99. |
| first_indexed | 2024-04-14T01:53:30Z |
| format | Article |
| id | doaj.art-5c8d404f43c2439eaa8657b03816afa2 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T01:53:30Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5c8d404f43c2439eaa8657b03816afa22022-12-22T02:19:13ZengMDPI AGEnergies1996-10732019-05-011210183210.3390/en12101832en12101832Predicting Energy Generation Using Forecasting Techniques in Catalan ReservoirsRaúl Parada0Jordi Font1Jordi Casas-Roma2Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), 08035 Barcelona, SpainInternet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), 08035 Barcelona, SpainInternet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), 08035 Barcelona, SpainReservoirs 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 <inline-formula> <math display="inline"> <semantics> <msup> <mi>R</mi> <mn>2</mn> </msup> </semantics> </math> </inline-formula> value of 0.99.https://www.mdpi.com/1996-1073/12/10/1832forecastingreservoirseries analysis |
| spellingShingle | Raúl Parada Jordi Font Jordi Casas-Roma Predicting Energy Generation Using Forecasting Techniques in Catalan Reservoirs Energies forecasting reservoir series analysis |
| title | Predicting Energy Generation Using Forecasting Techniques in Catalan Reservoirs |
| title_full | Predicting Energy Generation Using Forecasting Techniques in Catalan Reservoirs |
| title_fullStr | Predicting Energy Generation Using Forecasting Techniques in Catalan Reservoirs |
| title_full_unstemmed | Predicting Energy Generation Using Forecasting Techniques in Catalan Reservoirs |
| title_short | Predicting Energy Generation Using Forecasting Techniques in Catalan Reservoirs |
| title_sort | predicting energy generation using forecasting techniques in catalan reservoirs |
| topic | forecasting reservoir series analysis |
| url | https://www.mdpi.com/1996-1073/12/10/1832 |
| work_keys_str_mv | AT raulparada predictingenergygenerationusingforecastingtechniquesincatalanreservoirs AT jordifont predictingenergygenerationusingforecastingtechniquesincatalanreservoirs AT jordicasasroma predictingenergygenerationusingforecastingtechniquesincatalanreservoirs |