DocumentCode
170592
Title
An explanatory analysis of electricity prices within day-ahead Spanish energy market by using a graphical automatization with R
Author
Velasco, Jose Manuel ; Gonzalez-Perez, Beatriz ; Minana, Guadalupe ; Lopez, Victor ; Caro, Raquel
Author_Institution
Fac. of Comput. Sci., Complutense Univ. of Madrid, Madrid, Spain
fYear
2014
fDate
16-18 May 2014
Firstpage
631
Lastpage
636
Abstract
Since 1998, the Spanish and Portuguese Administrations began to share a common path in building the Iberian Electricity Market (MIBEL). This cooperation has been very successful, not only for its contribution to the existence of an electricity market on an Iberian level, but also on a European scale, as a significant step in building the Internal Energy Market. The price of electricity in the MIBEL is very changeable. This creates a lot of uncertainty and risk in market actors. Due to continuous changes in demand and marginal price adjustment, buyers and sellers can not know in advance the evolution of prices. Our interest is to study of this uncertainty since the perspective of the buyer and not the seller´s perspective. The aim of this work is to develop a graphical analysis of the variables involved in the Spanish Energy Market in order to explain the electric price and provide to small traders, that could be interested in participating in that market, better knowledge of the schedule. On the other hand, large industrial consumers use this information to design strategies to optimize its production capacity and improve their production costs. In this article the variable of interest is the marginal price instead of demand. This paper provides a graphical analysis by means of an easily reproducible automatization with the R project for statistical computing that allows to explore, visualize and understand the key variables that define its final value. Mibel 2011 and 2012 data are used for ilustrations. The results show the importance of the calendar effect, seasonality and trend as principal factors to take into account for posterior fases: modeling and forecasting.
Keywords
power markets; pricing; Iberian electricity market; MIBEL; Portuguese administrations; Spanish administrations; calendar effect; day-ahead Spanish energy market; design strategies; electricity prices; explanatory analysis; graphical analysis; graphical automatization; marginal price; price adjustment; production capacity; statistical computing; Correlation; Electricity; Electricity supply industry; Generators; Market research; Predictive models; Time series analysis; R language; electricity market; exploratory analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4799-2033-4
Type
conf
DOI
10.1109/PIC.2014.6972411
Filename
6972411
Link To Document