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ANALYSIS OF RELEVANT PREDICTIVE VARIABLES WITHIN THE DAY-AHEAD ELECTRICITY MARKET

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NOVEMBER 2017   -  Volume: 92 -  Pages: 617-618

DOI:

https://doi.org/10.6036/8594

Authors:

SARA JIMÉNEZ DEL CASO -
EMILIO LOPEZ CANO
- ARTURO FARFAN MARTIN - CRISTINA SÁEZ BLÁZQUEZ - JAVIER MARTINEZ MOGUERZA

Disciplines:

  • Sectorial economics (ENERGIA )

Downloads:   277

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Key words:
precio de la electricidad, mercado diario, variables, demanda, producción, predicción, electricity price, daily market, variables, demand, production, prediction.
Article type:
NOTA TECNICA / TECHNICAL NOTE
Section:
TECHNICAL NOTE

In this work, an analysis of the external factors that determine the importance of predictive variables within the day-ahead electricity market has been carried out. These analyses are then considered to establish the degree of influence of the variables under study over the price of the market. Each predictor of the model is estimated taking into account its nature and associated information using Multiple Linear Regression and least squares methods. The competitive results obtained show the importance of the analysis of the variables correlations and posterior selection of characteristics afforded as a previous step to the inclusion of the predictors in the corresponding model.

Keywords: electricity price, daily market, variables, demand, production, prediction

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