Cover Image

Assessing the loss-of-insulation life of power transformers by estimating their historical loads and ambient temperature profiles using ANNs and Monte Carlo simulations

Fuente: Redalyc

Saved in:

Bibliographic Details
Main Author:	Andrés Arturo Romero-Quete
Format:	Artículo científico
Language:	en
Published:	Universidad Nacional de Colombia 2016
Subjects:	Ingeniería Aging asset management Monte Carlo methods load profile forecasting artificial neural network
Online Access:	Acceder al recurso 1 Acceder al recurso 2 Acceder al recurso 3 Acceder al recurso 4 Acceder al recurso 5
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

New Strategies to Improve the Accuracy of Predictions based on Monte Carlo and Bootstrap Simulations: An Application to Bulgarian and Romanian Inflation
by: Mihaela Simionescu
Published: (2014)

Forecasting of short-term flow freight congestion: A study case of Algeciras Bay Port (Spain)
by: Juan Jesús Ruiz-Aguilar
Published: (2016)

Neural Model for the Prediction of Volume Losses in the Aging Process of Rums
by: Beatriz García-Castellanos
Published: (2020)

SHORT-TERM SOLAR RADIATION FORECASTING BY USING AN ITERATIVE COMBINATION OF WAVELET ARTIFICIAL NEURAL NETWORKS
by: Julio Cesar Royer
Published: (2016)

USING ARTIFICIAL NEURAL NETWORKS (ANNs) FOR SEDIMENT LOAD FORECASTING OF TALKHEROOD RIVER MOUTH
by: Vahid Nourani
Published: (2009)

Daily river level forecast based on the development of an artificial neural network: case study in La Virginia - Risaralda
by: Tito Morales-Pinzón
Published: (2015)

Implementation and applications of chaotic oscillatory based neural network for wind prediction problems
by: K. M. KWONG
Published: (2011)

COMMUNICATION NETWORK RELIABILITY AND AVAILABILITY ESTIMATION BY THE SIMULATION METHOD
by: Slavko Pokorni J.
Published: (2011)

BiGRU-CNN neural network applied to short-term electric load forecasting
by: Lucas Duarte Soares
Published: (2022)

Rede Neural para a Previsão de Raios na Região Sudeste do Brasil
by: Gisele dos Santos Zepka
Published: (2014)

Redes de neuronas artificiales para el pronostico de biomasa de sardina del pacifico y su medio ambiente
by: Miguel A. Cisneros Mata
Published: (1996)

New product forecasting demand by using neural networks and similar product analysis
by: Alfonso T. Sarmiento
Published: (2014)

Time-Series Forecasting Model for System Reliability Evaluation of Industrial Machinery Fleets in South Africa
by: Motshega, Nthaliwe
Published: (2000)

Computational Models of Financial Price Prediction: A Survey of Neural Networks, Kernel Machines and Evolutionary Computation Approaches
by: Javier Sandoval
Published: (2011)

Dimension Estimation of Rectangular Cracks Using Impedance Changes of the Eddy Current Probe with a Neural Network
by: A. Babaei
Published: (2013)

Experimental Data for Nonlinear Time Series Forecasting via Recurrent Neural Network Optimized by Ising Machine
by: Li, Zipeng, et al.
Published: (2025)

Modeling the water uptake by chicken carcasses during cooling by immersion
by: Tiago Dias MARTINS
Published: (2011)

Cost Forecasting of Public Construction Projects Using Multilayer Perceptron Artificial Neural Networks: A Case Study
by: Alcineide Pessoa
Published: (2021)

GigaChat AI in the Philosophy Educator's Work: The Dawn of the Algorithmic Future in Teaching and Methodology
by: Belyaev, Dmitriy A., et al.
Published: (2026)

TIME SERIES FORECASTING BY USING A NEURAL ARIMA MODEL BASED ON WAVELET DECOMPOSITION
by: Eliete Nascimento Pereira
Published: (2016)

Gold prices: Analyzing its cyclical behavior
by: Martha Gutiérrez
Published: (2013)

Validating a virtual source model based in Monte Carlo method for profiles and percent depth doses calculation
by: Renata Aline Del Nero
Published: (2019)

Detecting Simulated Attacks in Computer Networks Using Resilient Propagation Artificial Neural Networks
by: Mario A. Garcia
Published: (2015)

Balancing of a rigid rotor using artificial neural network to predict the correction masses
by: Fábio Lúcio Santos
Published: (2009)

Efficient Modelisation for Complex Geometries of Tumor Growth via Thermo-Elastic Diffusion Partial Differential Equations and Artificial Neural Networks - Figure 2. Dynamics of tumor geometry: the existence of a bifurcation point behaviour giving the treatment prognostic is a strong a priori argument of PDE modelling
by: Manana Chumburidze, et al.
Published: (2025)

Green computing: a realistic evaluation of energy consumption for building load forecasting computation
by: Zita Vale, et al.
Published: (2022)

An Artificial Intelligence Approach to Predict Different Strokes
by: Deepthi M, et al.
Published: (2020)

Achieving Human-Like Movements with Neural Network-Based Planner in Collaborative Robotics
by: Lozer, Federico, et al.
Published: (2025)

PID Based on a Single Artificial Neural Network Algorithm for Intelligent Sensors
by: J. Rivera-Mejía
Published: (2012)

An early PDP connectionist model for describing the behavioral phenomenon
by: Ricardo Tiosso Panassiol
Published: (2019)

MODELING OF MIXED LIQUOR VOLATILE SUSPENDED SOLIDS AND PERFORMANCE EVALUATION FOR A SEQUENCING BATCH REACTOR
by: S.A. Mirbagheri
Published: (2015)

Application of Weibull analysis and artificial neural networks to predict the useful life of the vacuum packed soft cheese
by: Jesús Alexander Sánchez-González
Published: (2017)

Emergent communication in simulated robotics: supporting supply chains through evolutionary computation
by: Fernando Aldana Franco
Published: (2024)

Voltage sag assessment using an extended fault positions method and Monte Carlo simulation
by: Jorge W. Sagre
Published: (2016)

Energy Forecast in Buildings Addressing Computation Consumption in a Green Computing Approach
by: Daniel Ramos, et al.
Published: (2023)

COMPUTER VISION TECHNIQUES FOR TRAFFIC SIGN DETECTION IN ADAS APPLICATIONS
by: Taras Volodymyrovych, Kravchenko
Published: (2025)

Design of an application to detect covid-19 using convolutional neural networks and X-ray images
by: Carlos Eduardo Belman López
Published: (2024)

Use of Artificial Neural Networks for Prediction of Convective Heat Transfer in Evaporative Units
by: Ricardo Romero-Méndez
Published: (2014)

Egg hatchability prediction by multiple linear regression and artificial neural networks
by: AC Bolzan
Published: (2008)

Regression models for the prediction of high impact polystyrene properties using operational variables
by: Diana Soto
Published: (2006)