Effective feedback can reduce building power consumption and carbon emissions.
Therefore, providing information to building managers and tenants is the first step in …

The empirical mode decomposition (EMD) decomposes non-stationary signals that may
stem from nonlinear systems, in a local and fully data-driven manner. Noise-assisted …

Reliable real-time sensing plays a vital role in ensuring the reliability and safety of industrial
cyber-physical systems (CPSs) such as wireless sensor and actuator networks. For many …

Non intrusive load monitoring (NILM), or energy disaggregation, is the process of separating
the total electricity consumption of a building as measured at single point into the building's …

The complexity of modern HVAC systems leads to device mis-configuration in about 40% of
buildings, wasting upto 40% of the energy consumed. Fault detection methods generate …

This work deals with the decomposition of a signal into a collection of intrinsic mode
functions. More specifically, we aim to revisit Empirical Mode Decomposition (EMD) based …

Building automation is a trusted technology to ensure user comfort in buildings. Today the
challenge is not only to provide comfort, but to do it while having a close eye on the energy …

HVAC systems constitute 40% of energy in commercial buildings, and faults in HVAC
account for 5% to 20% of its energy consumption. Typically, HVAC in modern buildings are …

Despite the comfort and safety that homes provide to humans, they are a hazardous
environment for operating embedded sensors and controllers. In this paper, we present the …

Cette thèse propose de nouveaux outils adaptés à l'analyse des réseaux: sociaux, de
transport, de neurones, de protéines, de télécommunications... Ces réseaux, avec l'essor de …