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Improving Knowledge-Based Systems with statistical techniques, text mining, and neural networks for non-technical loss detection

 

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Opened Access Improving Knowledge-Based Systems with statistical techniques, text mining, and neural networks for non-technical loss detection
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Author: Guerrero Alonso, Juan Ignacio
León de Mora, Carlos
Monedero Goicoechea, Iñigo Luis
Biscarri Triviño, Félix
Biscarri Triviño, Jesús
Department: Universidad de Sevilla. Departamento de Tecnología Electrónica
Date: 2014
Published in: Knowledge-Based Systems, 71 (november 2014), 376-388.
Document type: Article
Abstract: Currently, power distribution companies have several problems that are related to energy losses. For example, the energy used might not be billed due to illegal manipulation or a breakdown in the customer’s measurement equipment. These types of lo...
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Cite: Guerrero Alonso, J.I., León de Mora, C., Monedero Goicoechea, I.L., Biscarri Triviño, F. y Biscarri Triviño, J. (2014). Improving Knowledge-Based Systems with statistical techniques, text mining, and neural networks for non-technical loss detection. Knowledge-Based Systems, 71 (november 2014), 376-388.
Size: 2.244Mb
Format: PDF

URI: https://hdl.handle.net/11441/76678

DOI: 10.1016/j.knosys.2014.08.014

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