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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 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.
Description
Keywords
Databases Electricity Markets Machine Learning Multi-Agent Simulators Real Electricity Markets Data
Citation
Publisher
Springer