Κατεύθυνση Οικονομικά, Διοικητικά και Πληροφοριακά Συστήματα Επιχειρήσεων
Library of the Faculty of Economics and of the Faculty of Business Administration

2018-10-30

2018

Psychogios Lampros

Βασίλειος Λαζάρου, Διδάσκων, Τμήμα Οικονομικών Επιστημών, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών

Ανάλυση δεδομένων στον τομέα των ανανεώσιμων πηγών ενέργειας

Greek

Data analytics in renewable energy sector

Renewable energy sources such as wind and solar energy are naturally variable, require the use of information systems to predict supply and demand levels as well as the overall management of the electricity system and the electricity market
This study examines the environment of the Hellenic sector, assessing the challenges arising from the large scale integration of renewable energy into the system, and analyzing the proposal for the solution of the challenges of the Hellenic system.
In addition, we present the state-of-the-art solutions that include data mining, machine learning and statistical methods for cleaning, transforming, modeling and extracting useful information from large, complex data sets to address similar challenges. As well, a framework of future trends in artificial intelligence for the Hellenic system is proposed.

Science

renewable energy sources, electricity market, forecasting error, energy information systems, SWOT, virtual power plant, artificial intelligence

No

0

Yes

25

36

File access is restricted only to the intranet of UoA.

https://pergamos.lib.uoa.gr/uoa/dl/object/2815499