METHODOLOGICAL VALIDATION OF MACHINE LEARNING MODELS FOR NON-TECHNICAL LOSS DETECTION IN ELECTRIC POWER SYSTEMS: A CASE STUDY IN AN ECUADORIAN ELECTRICITY DISTRIBUTOR

Detecting fraudulent behaviors in electricity consumption is a significant challenge for electric utility companies due to the lack of information and the complexity Steamer of both constructing patterns and distinguishing between regular and fraudulent consumers.This study proposes a methodology based on data analytics that, through the processing

Oligodendrocyte and myelin deficits have been reported in mental/psychiatric diseases.The p21-activated kinase 3 (PAK3), a serine/threonine kinase, whose activity is stimulated by the binding of active Rac and Cdc42 GTPases is affected in these pathologies.Indeed, many mutations of Pak3 gene have been described in non-syndromic intellectual disabil

Armor breakup and reformation was studied in a laboratory experiment using a trimodal mixture composed of a 1 mm sand fraction and two gravel fractions (6 and 8 Pin Wire Harness 10 mm).The initial bed was characterized by a stepwise downstream fining pattern (trimodal reach) and a downstream sand reach, and the experiment was conducted under condit