Abstract
In order to ensure competitiveness in the market, electricity distribution companies must accurately estimate future electricity generation. To do so, this work uses time series models that correlate future inflow and past generation in space and time. The methodology proposed shows reduced errors and satisfactory predictability.
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Acknowledgements
The authors thank the R&D program of the Brazilian Electricity Regulatory Agency (ANEEL) for financial support (P&D 06585-1802/2018). They also thank the support of the National Council of Technological and Scientific Development (CNPq) and FAPERJ. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001.
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de Sousa, M.A., Maçaira, P.M., Souza, R.C., Cyrino Oliveira, F.L., Calili, R.F. (2020). Forecasting Electricity Generation of Small Hydropower Plants. In: Leiras, A., González-Calderón, C., de Brito Junior, I., Villa, S., Yoshizaki, H. (eds) Operations Management for Social Good. POMS 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-23816-2_5
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