Data Extraction Tool to Analyse, Transform and Store Real Data from Electricity Markets

Ivo F. Pereira, Tiago Sousa, Isabel Praca, Ana R. Freitas, Tiago Pinto, Zita Vale, Hugo Morais

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

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’ websites is presented, assuring constant updating and reliability of the stored data.
Original languageEnglish
Title of host publicationDistributed Computing and Artificial Intelligence
EditorsS. Omatu
PublisherSpringer
Publication date2014
Pages387-395
ISBN (Print)978-3-319-07592-1
ISBN (Electronic)978-3-319-07593-8
DOIs
Publication statusPublished - 2014
SeriesAdvances in Intelligent Systems and Computing
Volume290
ISSN2194-5357

Keywords

  • Databases
  • Electricity Markets
  • Machine Learning
  • Multi-Agent Simulators
  • Real Electricity Markets Data

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