Because physics-based building models are difficult to obtain as each is individual, there an increasing interest in generating suitable for MPC directly from measurement data. Machine learning methods have been widely applied this problem and validated mostly simulation; are, however, few studies on a direct comparison of different or validation real buildings be found the literature. Methods ...

How do changes in the market architecture affect the dynamics of deregulated electricity prices? We investigate this issue in the context of the Italian Power Exchange (IPEX), using data on the daily average day-ahead price (PUN) between April 2004 and December 2008. Estimates of baseline time series models (ARMAX and ARMAX-EGARCH) and their forecasting performances suggest that the trend in na...

Islet transplantation can provide metabolic stability for patients with type 1 diabetes; however, more than one donor pancreas is usually required to achieve insulin independence. To evaluate possible mechanistic defects underlying impaired graft function, we studied five subjects at 3 months and four subjects at 12 months following intraportal islet transplantation who had received comparable ...

Predictive Functional Control (PFC), belonging to the family of predictive control techniques, has been demonstrated as a powerful algorithm for controlling process plants. The input/output PFC formulation has been a particularly attractive paradigm for industrial processes, with a combination of simplicity and effectiveness. Though its use of a lag plus delay ARX/ARMAX model is justified in ma...

In this paper a simplified ARMAX-type (Autoregressive Moving Average model with eXternal input) adaptive control of a polymerization process approximately in its quasi-stationary limit is presented. This process serves as an appropriate paradigm of multivariable dynamic systems of strong non-linear coupling in the control of which the state propagation of various internal degrees of freedom can...

In this study, it was investigated to what extent linear auto regressive models with external input (ARX) and auto regressive moving average models with external input (ARMAX) could be used to describe the inside air temperature of an unheated, naturally ventilated greenhouse under Western European conditions. Outside air temperature and relative humidity, global solar radiation, and cloudiness...

Dynamic data detection is one of the main concerns in statistical process control (SPC) field. Here we focus on monitoring parametric multivariate dynamic streams using ARMAX-GARCH model, which reflects both influence exogenous variables mean vector and heterogeneity covariance matrix. A quasi maximum likelihood estimator used to estimate parameter a process, top-r scheme proposed monitor param...