The intensive use of distributed energy resources in future smart grids and the operation in the scope of liberalized and competitive electricity markets involves a large number of players of different nature and size, and having diverse functions, characteristics and goals. This points to future power systems using multi-level decentralized decision and requiring adequate decision-support tools to support decentralized decision making. Those tools should be able to obtain the implicit knowledge contained in the large volumes of data produced by the installation and players - operation and that is of most value for operational and economic decisions. This panel will present new solutions and discuss the challenges ahead regarding the data analysis and mining techniques and tools that can be used to support decision makers in the new context.
Data Mining for Operational and Economics Decisions
Posted: 5 Aug 2013
Sponsored by:Power System Analysis , Computing , Economics Committee
Chair:Z. Vale , G. Lambert-Torres
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