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Development of an innovative compact hybrid electrical-thermal storage system for historic building integrated applications in the Mediterranean climate
(2019-04)
Currently in the EU, there are limited examples of operationally integrated solutions capable of achieving optimal interaction of energy networks, combining both electricity and heat-cooling energy supply and storage. There ...
Adaptive multi-model monitoring of recurrent mobility patterns
(2019)
Multi-model event-triggering is a highly promising technique for efficient monitoring of processes where instead of continuous or even periodic triggering of events, communication and control is only applied after some ...
Reducing Vulnerability to Cyber-Physical Attacks in Water Distribution Networks
(2018)
Cyber-Physical Systems (CPS), such as Water Distribution Networks (WDNs), deploy digital devices to monitor and control the behavior of physical processes. These digital devices, however, are susceptible to cyber and ...
Distributed Sensor Fault Accommodation of Multi-Zone HVAC Systems
(2018)
This paper presents a distributed methodology for controlling multi-zone Heating, Ventilation and Air-Conditioning (HVAC) systems and a fault accommodation scheme for reconfiguring the distributed controller in the presence ...
ALCHEMI – A low cost, high efficiency, optoelectronic HCPV module for 1000× operation
(2018)
his paper summarizes the current status of the ALCHEMI project, a European collaborative undertaking under the Solar-Era.Net co-fund scheme. The project’s aim is to develop novel, low cost, HCPV modules that operate at ...
Control-Coding Capacity of Decision Models Driven by Correlated Noise and Gaussian Application Examples
(2018)
We characterize the n -finite time feedback information (FTFI) control-coding capacity of decision models (DMs) driven by correlated noise. Under information stability the per unit limit, called control-coding (CC) capacity ...
Online Approximation of Prediction Intervals Using Artificial Neural Networks
(Springer International Publishing, 2018)
Prediction intervals offer a means of assessing the uncertainty of artificial neural networks’ point predictions. In this work, we propose a hybrid approach for constructing prediction intervals, combining the Bootstrap ...
Optimization Based Partitioning Selection for Improved Contaminant Detection Performance
(2018)
Indoor Air Quality monitoring is an essential ingredient of intelligent buildings. The release of various airborne contaminants into the buildings, compromises the health and safety of occupants. Therefore, early contaminant ...
Queue-Based Resampling for Online Class Imbalance Learning
(Springer International Publishing, 2018)
Online class imbalance learning constitutes a new problem and an emerging research topic that focusses on the challenges of online learning under class imbalance and concept drift. Class imbalance deals with data streams ...
Effective Multi-region Traffic Control and Demand Management Using an Overlay Route-Reservation Scheme
(2018)
In this work, we assume that a heterogeneous urban area is partitioned into multiple homogeneous regions. The proposed approach creates an overlay graph which is used by the reservation architecture to control the traffic ...