Electricity pricing in liberalized market using consumer characterization

Electricity market liberalization gives the opportunity to customers to choose their electricity supplier. In this new circumstance more exact knowledge of consumer behavior is essential for designing specific pricing strategies, where the pricing considers the consumption patterns from various types of customers. In our paper artificial intelligence techniques (self-organizing maps, neural networks) are applied for consumer characterization and classification. After the characterization procurement costs were calculated for the different consumer groups. Based on the obtained results relationship could be determined between procurement costs and consumer's load patterns in order to support our traders in procurement activity.