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Leveraging statistical machine learning to address failure localization in optical networks
(2018)
In this work we consider the problem of fault localization in transparent optical networks.We attempt to localize single-link failures by utilizing statistical machine learning techniques trained on data that describe the ...
On learning bandwidth allocation models for time-varying traffic in flexible optical networks
(2018)
We examine the problem of bandwidth allocation (BA) on flexible optical networks in the presence of traffic demand uncertainty. We assume that the daily traffic demand is given in the form of distributions describing the ...
Minimal path decomposition of complete bipartite graphs
(2018)
This paper deals with the subject of minimal path decomposition of complete bipartite graphs. A path decomposition of a graph is a decomposition of it into simple paths such that every edge appears in exactly one path. If ...
Development and Implementation of BIPV Courseware for Higher Education and Professionals
(Springer, 2019)
It is generally expected that in the future, photovoltaics will be able to contribute substantially to the mainstream power production, and that through their widespread commercialization, Building-Integrated Photovoltaics ...
Energy class dependent residential battery storage sizing for PV systems in Cyprus
(2019)
Battery energy storage systems (BESS) have started to be part of the photovoltaic (PV) system design to allow the further penetration of PV into the grid. This study deals with the sizing (power and energy capacity) of a ...
Ultrafast Carrier Dynamics in InGaP/InGaAs/Ge Multi-Junction Solar Cells
(WIP, 2019)
Perovskites, other Non-Silicon-Based Photovoltaics and Multi-Junction Devices, III-V and Related Compound Semiconductor Based Devices, Ultrafast Carrier Dynamics in InGaP/InGaAs/Ge Multi-Junction Solar Cells
Performance Analysis of Mechanistic and Machine Learning Models for Photovoltaic Energy Yield Prediction
(2019)
In this work, the prediction performance of the mechanistic performance model (MPM) and a machine learning Feed Forward Neural Network (FFNN), was evaluated using yearly datasets, containing sixty-minute average and ...
Promoting Effective Generation and Sustainable Uses of electricity (PEGASUS) -The case of the FOSS lab area nanogrid
(2018)
In order to increase the efficient allocation of renewable energy sources (RES), the microgrid concept has been arisen, as a controllable entity being able to operate both grid-connected and isolated in island mode. In ...
Advanced Diagnostic Approach of Failures for Grid-Connected Photovoltaic (PV) Systems
(2018)
Real-time identification of failures in photovoltaic (PV) systems is crucial for achieving reactive maintenance schemes that, in turn, will increase the system reliability and guarantee the lifetime output. Following this ...