Bayesian inference is used to calibrate a bottom-up home PLC network model with unknown loads and wires at frequencies up to 30 MHz. A network topology with over 50 parameters is calibrated using global sensitivity analysis and transitional Markov Chain Monte Carlo (TMCMC). The sensitivity-informed Bayesian inference computes Sobol indices for each network parameter and applies TMCMC ... https://safeersappliancers.shop/product-category/zanussi-zcv46250ba-electric-cooker-ceramic-hob-black-a-a-rated-55cm/