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Advisor(s)
Abstract(s)
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 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, essential for understanding and forecast Electricity Markets
behaviour. 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 the behaviour
of the involved entities. In this paper we present an adaptable tool capable of downloading, parsing and
storing data from market operators’ websites, assuring actualization and reliability of stored data.
Description
Keywords
Databases Electricity Markets Machine Learning Multi-Agent Simulators Real Electricity Markets Data