Forecasting Electricity Generation of Small Hydropower Plants

Margarete Afonso Sousa (), Paula Medina Maçaira (), Reinaldo Castro Souza (), Fernando Luiz Cyrino Oliveira () and Rodrigo Flora Calili ()
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Margarete Afonso Sousa: Pontifícia Universidade Católica do Rio de Janeiro
Paula Medina Maçaira: Pontifícia Universidade Católica do Rio de Janeiro
Reinaldo Castro Souza: Pontifícia Universidade Católica do Rio de Janeiro
Fernando Luiz Cyrino Oliveira: Pontifícia Universidade Católica do Rio de Janeiro
Rodrigo Flora Calili: Pontifícia Universidade Católica do Rio de Janeiro

Chapter Chapter 5 in Operations Management for Social Good, 2020, pp 45-54 from Springer

Abstract: 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.

Keywords: Forecasting; Electricity distribution; Time series (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-23816-2_5

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DOI: 10.1007/978-3-030-23816-2_5

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