Wilson González-Vanegas

ORCID: 0000-0003-0969-9287
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About
Contact & Profiles
Research Areas
  • Gaussian Processes and Bayesian Inference
  • Markov Chains and Monte Carlo Methods
  • Smart Grid Energy Management
  • Atomic and Subatomic Physics Research
  • Bayesian Methods and Mixture Models
  • Functional Brain Connectivity Studies
  • Reliability and Maintenance Optimization
  • Integrated Energy Systems Optimization
  • Risk and Safety Analysis
  • Stochastic processes and statistical mechanics
  • Advanced MRI Techniques and Applications
  • Power System Reliability and Maintenance
  • Mass Spectrometry Techniques and Applications
  • Electric Power System Optimization

Technological University of Pereira
2017-2022

MPNG is an open-source simulation package for solving Optimal Power and Natural Gas Flow (OPNGF) problems. It coded in <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Matlab</small> developed using the widely-used tool power systems research education, xmlns:xlink="http://www.w3.org/1999/xlink">Matpower</small> . assembles a nonlinear steady state OPNGF formulation analyzing integration of electricity natural gas networks with order-of-priority...

10.1109/tpwrs.2022.3195684 article EN IEEE Transactions on Power Systems 2022-08-05

Bayesian statistical inference under unknown or hard to asses likelihood functions is a very challenging task. Currently, approximate computation (ABC) techniques have emerged as widely used set of likelihood-free methods. A vast number ABC-based approaches appeared in the literature; however, they all share dependence on free parameters selection, demanding expensive tuning procedures. In this paper, we introduce an automatic kernel learning-based ABC approach, termed AKL-ABC, automatically...

10.3390/e21100932 article EN cc-by Entropy 2019-09-24
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