Adaptive Tool for Automatic Data Collection of Real Electricity Markets

• Published in: 2012 23rd International Workshop on Database and Expert Systems Applications pp. 345 - 349
• Main Authors: Praca, I., Sousa, T. M., Freitas, A., Pinto, T., Vale, Z., Silva, M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2012
• Subjects: Adaptation models; Contracts; Data mining; Data models; Electricity Markets; Electricity supply industry; Machine Learning; Multi-Agent Simulators; Multiagent systems; Real Electricity Markets
• ISBN: 9781467326216; 1467326216
• ISSN: 1529-4188; 2378-3915
• DOI: 10.1109/DEXA.2012.79

The study of electricity markets operation has been gaining an increasing importance in last years, as result of the new challenges that the electricity markets restructuring produced. This restructuring increased the competitiveness of the market, but with it its complexity. The growing complexity and unpredictability of the market's evolution consequently increases the decision making difficulty. Therefore, the intervenient entities are forced to rethink their behaviour and market strategies. Currently, lots of information concerning electricity markets is available. These data, concerning innumerous regards of electricity markets operation, is accessible free of charge, and it is essential for understanding and suitably modelling electricity markets. This paper proposes a tool which is able to handle, store and dynamically update data. The development of the proposed tool is expected to be of great importance to improve the comprehension of electricity markets and the interactions among the involved entities.