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Predicting Energy Generation Using Forecasting Techniques in Catalan Reservoirs

Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), 08035 Barcelona, Spain
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Energies 2019, 12(10), 1832; https://doi.org/10.3390/en12101832
Received: 28 March 2019 / Revised: 24 April 2019 / Accepted: 1 May 2019 / Published: 14 May 2019
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 R 2 value of 0.99. View Full-Text
Keywords: forecasting; reservoir; series analysis forecasting; reservoir; series analysis
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MDPI and ACS Style

Parada, R.; Font, J.; Casas-Roma, J. Predicting Energy Generation Using Forecasting Techniques in Catalan Reservoirs. Energies 2019, 12, 1832.

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