000162912 001__ 162912
000162912 005__ 20251017144615.0
000162912 0247_ $$2doi$$a10.3390/en18143755
000162912 0248_ $$2sideral$$a145416
000162912 037__ $$aART-2025-145416
000162912 041__ $$aeng
000162912 100__ $$aTorres-Bermeo, Pedro
000162912 245__ $$aOptimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm
000162912 260__ $$c2025
000162912 5060_ $$aAccess copy available to the general public$$fUnrestricted
000162912 5203_ $$aThis study presents an innovative methodology to optimize the operation of distribution transformers through the estimation of hourly load curves, aimed at minimizing technical losses due to oversizing, particularly in systems lacking advanced metering infrastructure. The proposed approach combines clustering techniques, K-Means with DTW, to identify representative daily consumption patterns and a supervised model based on LightGBM to estimate hourly load curves for unmetered transformers, using customer characteristics as input. These estimated curves are integrated into a process that calculates technical losses, both no-load and load losses, for different transformer sizes, selecting the optimal rating that minimizes losses without compromising demand. Empirical validation showed accuracy levels of 95.6%, 95.29%, and 98.14% at an individual transformer, feeder, and a complete electrical system with 16,864 transformers, respectively. The application of the methodology to a real distribution system revealed a potential annual energy savings of 3004 MWh, equivalent to an estimated economic reduction of 150,238 USD.
000162912 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000162912 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000162912 700__ $$aVarela-Aldás, José
000162912 700__ $$aLópez-Eugenio, Kevin
000162912 700__ $$aVelasco, Nancy
000162912 700__ $$0(orcid)0000-0002-9408-1280$$aPalacios-Navarro, Guillermo$$uUniversidad de Zaragoza
000162912 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000162912 773__ $$g18, 14 (2025), 3755 [23 pp.]$$pENERGIES$$tEnergies$$x1996-1073
000162912 8564_ $$s4524362$$uhttps://zaguan.unizar.es/record/162912/files/texto_completo.pdf$$yVersión publicada
000162912 8564_ $$s2413872$$uhttps://zaguan.unizar.es/record/162912/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000162912 909CO $$ooai:zaguan.unizar.es:162912$$particulos$$pdriver
000162912 951__ $$a2025-10-17-14:19:11
000162912 980__ $$aARTICLE