@inbook{a307a21f24194480bf02058466eaf097,
title = "Data Extraction Tool to Analyse, Transform and Store Real Data from Electricity Markets",
abstract = "The study of electricity markets operation has been gaining an increasing importance in the last years, as result of the new challenges that the restructuring process produced. Currently, lots of information concerning electricity markets is available, as market operators provide, after a period of confidentiality, data regarding market proposals and transactions. These data can be used as source of knowledge to define realistic scenarios, which are essential for understanding and forecast electricity markets behavior. The development of tools able to extract, transform, store and dynamically update data, is of great importance to go a step further into the comprehension of electricity markets and of the behaviour of the involved entities. In this paper an adaptable tool capable of downloading, parsing and storing data from market operators{\textquoteright} websites is presented, assuring constant updating and reliability of the stored data.",
keywords = "Databases, Electricity Markets, Machine Learning, Multi-Agent Simulators, Real Electricity Markets Data",
author = "Pereira, {Ivo F.} and Tiago Sousa and Isabel Praca and Freitas, {Ana R.} and Tiago Pinto and Zita Vale and Hugo Morais",
year = "2014",
doi = "10.1007/978-3-319-07593-8_45",
language = "English",
isbn = "978-3-319-07592-1",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "387--395",
editor = "S. Omatu",
booktitle = "Distributed Computing and Artificial Intelligence",
}