Abstract The multi-purpose usage of battery energy storage systems (BESSs) increases the exploitation their flexibility potential. This can be further enhanced when a large number small BESSs are combined into swarm and marketed collectively by an aggregator. To this end, unified representation remaining for each BESS is needed that meets requirements both, distributed design. In work, we prese...

Patch based methods give some of the best denoising results. Their theoretical performances are still unexplained mathematically. We propose a novel insight of NL-Means based on an aggregation point of view. More precisely, we describe the framework of PAC-Bayesian aggregation, show how it allows to derive some new patch based methods and to characterize their theoretical performances, and pres...

The exploitation of content in the area of cultural heritage is a critical issue. There is a strong push on defining and collecting content metadata from cultural institutions (such as museums, university, archives, library, foundations, etc.) to see them accessible on Europeana for a larger audience, the so called European digital library. This action is going to reduce fragmentation and to in...

Recognizing facial expression has remained a challenging task in computer vision. Deriving an effective facial expression recognition is an important step for successful human-computer interaction systems. This paper describes a novel approach towards facial expression recognition task. It is motivated by the success of Convolutional Neural Networks (CNN) on face recognition problems. Unlike ot...

Aggregator-activated demand response (DR) is widely recognised as a viable means for increasing the flexibility of renewable and sustainable energy systems (RSESs) necessary to accommodate high penetration variable renewables. To this end, by acting DR aggregators offering trading capabilities smaller customers, retailers unlock additional sources demand-side ensure cost-optimal operation RSESs...