, Stochastic generation of domestic load curves
125 7.3.2 Generation of domestic electric load curves ,
,
,
Measurements of the outdoor temperature with various sensor orientations, p.77 ,
, Typical series of the outdoor temperature bias
, Estimated bias reduction of the outdoor temperature
, Estimation of the main parameters, by learning the air temperature bias, p.83
, Typical series of the outdoor temperature bias, vol.87
, Selection of the penalty coefficient ?
, Smoothed dynamics of the outdoor temperature bias
Smoothed trajectories of the temperature bias and the solar flux, p.103 ,
, Estimation of the main parameters by learning the dynamics of the solar flux, p.105
, Convergence of estimations of the main physical parameter, simulated data, p.106
, Estimation of the heating power and indoor temperature, test set, p.107
, Convergence of estimations of the main physical parameter, BESTLab data, p.109
, Typical domestic non-heating load curves at sampling time one second, p.114
Measured total load curve and timeline of non-heating events, p.117 ,
, Flowchart of the learning procedure with an aggregated load curve, p.118
, Probability profile of the merged activities whilst people are at home, p.125
, Simulation of the active occupancy profile
, Simulated average daily electricity demand of 100 2-occupant dwellings, p.129
, Disaggregation of the demand between heating and non-heating loads, p.130
, Mean daily heating demand for three dwellings
132 7.10 Estimation of a closed-loop R3C2 model from an uncertain load curve, Equipment rates in France: telephony, computer, home internet access, p.134 ,
, Accuracy of the 11 expert models and associated aggregation weights, p.135
Estimation of the R3C2 model from an uncertain load curve, p.136 ,
, Estimation errors of the R3C2 model from an uncertain load curve, p.137
, Estimation of UA against the frequency and volume of the non-heating loads, p.137
138 7.16 RMSE of the estimated T i and Q u against the estimated PI controller, p.138 ,
139 7.18 Estimated heating power and indoor temperature, BESTLab experiment with uncertain load curve ,
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, Compute K estimators ? (k) , k = 1, . . . , K of the parameters of the PI controller on the intervals I 0k with sufficiently many data
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, Simulate T i and Q u in closed loop from the system ( ? l , ? l ), using the observed series ? 0 , Q s , T r as well as null free gains
, Compute the root mean square errors of T i and Q u according to
, 12) 7. if ? > ? 0 , where ? 0 is a chosen threshold, then set l ? l + 1, update ? l by minimizing the cost function J 2 (?)
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