GreyCat: Efficient what-if analytics for data in motion at scale

T Hartmann, F Fouquet, A Moawad, R Rouvoy… - Information Systems, 2019 - Elsevier
Over the last few years, data analytics shifted from adescriptive era, confined to the
explanation of past events, to the emergence of predictive techniques. Nonetheless, existing …

A new modelling framework over temporal graphs for collaborative mobility recommendation systems

B Toader, A Moawad, F Fouquet… - 2017 IEEE 20th …, 2017 - ieeexplore.ieee.org
Over the years, collaborative mobility proved to be an important but challenging component
of the smart cities paradigm. One of the biggest challenges in the smart mobility domain is …

Enabling model-driven live analytics for cyber-physical systems: The case of smart grids

T Hartmann - 2016 - orbilu.uni.lu
Advances in software, embedded computing, sensors, and networking technologies will
lead to a new generation of smart cyber-physical systems that will far exceed the capabilities …

Preventing overloading incidents on smart grids: A multiobjective combinatorial optimization approach

N Antoniadis, M Cordy, A Sifaleras… - … on Optimization and …, 2020 - Springer
Cable overloading is one of the most critical disturbances that may occur in smart grids, as it
can cause damage to the distribution power lines. Therefore, the circuits are protected by …

Enhancing Smart Grid Resilience and Reliability by Using and Combining Simulation and Optimization Methods

N Antoniadis - 2021 - orbilu.uni.lu
Modern electrical grids include numerous digital technologies for producing, transmitting,
distributing, and supplying electricity. The electrical grids that achieve the most reliable …

Load approximation for uncertain topologies in the low-voltage grid

L Mouline, M Cordy, Y Le Traon - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Smart grids allow operators to monitor the grid continuously, detect occurring incidents, and
trigger corrective actions. To perform that, they require a deep understanding of the effective …

MOBILITY ANALYSIS AND PROFILING FOR SMART MOBILITY SERVICES: A BIG DATA DRIVEN APPROACH. An Integration of Data Science and Travel Behaviour …

B Toader - 2019 - orbilu.uni.lu
Smart mobility proved to be an important but challenging component of the smart cities
paradigm. The increased urbanization and the advent of sharing economy require a …

Towards a modelling framework with temporal and uncertain data for adaptive systems

L Mouline - 2019 - theses.hal.science
Self-Adaptive Systems (SAS) optimise their behaviours or configurations at runtime in
response to a modification of their environments or their behaviours. These systems …