Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5905
Título: Data Extraction Tool to Analyse, Transform and Store Real Data from Electricity Markets
Autor: Pereira, Ivo
Sousa, Tiago
Praça, Isabel
Freitas, Ana
Pinto, Tiago
Vale, Zita
Morais, Hugo
Palavras-chave: Databases
Electricity Markets
Machine Learning
Multi-Agent Simulators
Real Electricity Markets Data
Data: 2014
Editora: Springer
Relatório da Série N.º: Advances in Intelligent Systems and Computing;Vol. 290
Resumo: 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.
Peer review: yes
URI: http://hdl.handle.net/10400.22/5905
DOI: 10.1007/978-3-319-07593-8_45
Versão do Editor: http://link.springer.com/chapter/10.1007/978-3-319-07593-8_45
Aparece nas colecções:ISEP – GECAD – Livro, parte de livro, ou capítulo de livro

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