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The paper proposes an analytical methodology and three different Artificial Neural Network alternatives using a multi layer perceptron (MLP) in order to estimate technical losses in distribution systems. For each transformer a load curve is set by aggregated customer load curves, and then losses are estimated by transformer's daily load curve stratified, with the proposed methodologies. Theoretically, it can reach a different load curve for each transformer then consequently distinguished losses either. The losses are estimated for distribution transformer, but the methodology can be used on each segment involved in the distribution system (secondary and primary network, distribution transformers, HV/MV transformers). This is done by using the network's data, the consumer's monthly energy consumption data and the typical load curves by class of consumer and type of enterprise developed.
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