Data-driven approach is essential to the modeling of building thermal dynamics. It has been
widely applied in building operation optimization, energy management, system performance …

Nowadays, data-driven approaches are a good way to estimate very efficient black box
models for different engineering systems. This class of model is well recognized by its …

This paper aims to investigate the impact of the thermal insulation on the cooling
effectiveness of the Earth-to-Air Heat Exchanger systems under hot and arid climate. For …

We introduce a probabilistic modeling for a disaggregated Bottom-up simulation of
residential energy usage. Parametric probability distributions are modeled with parameters …

We tackle uniform state feedback control of switched linear systems under arbitrary
switching using scenario optimization. We propose a data-driven control framework, in …

Obtaining accurate models for heating and building systems is crucial for prediction and
control in the context of energy efficiency and demand response. Models should be both …

To reduce the energy consumption in buildings is necessary to analyze individual rooms
and thermal zones, studying mathematical models and applying new control techniques. In …

This paper tackles the feedback stabilization of switched linear systems under arbitrary
switching. We propose a data-driven approach which allows to compute a stabilizing static …

The integration of solar air collector with hollow ventilated interior wall (SAC-HVIW) has the
potential of reducing heating energy use and improving thermal comfort during nighttime for …

This letter presents a fusion-based output feedback MPC (FOFMPC) approach for multi-
sensor systems with state and control constraints. Our approach consists of a fusion …