The number of distributed Photovoltaic (PV) plants that produce electricity has been significantly increased, and issue of monitoring and maintaining a PV plant has become of great importance and involves many challenges as efficiency, reliability, safety, and stability. This paper presents the novel approach to estimate the PV cells degradations with DCNNs. While many studies have performed images classification, to the best of our knowledge, this is the first exploitation of data acquired with a drone equipped with a thermal infrared sensor. The experiments on “Photovoltaic images Dataset”, a collected dataset, are presented to show the degradation problem and comprehensively evaluate the method presented in this research. Results in terms of precision, recall and F1-score show the effectiveness and the suitability of the proposed approach.
This article argues for the assessment of deliberative mini-publics as a dynamic part of a wider deliberative system. The approach draws primarily on Dryzek's (2009) deliberative capacity building framework, which describes the democratic process as ideally involving authentic deliberation, inclusiveness in the deliberative process, and consequentiality or deliberation's influence on decisions as well as positive impact on the system. This approach is illustrated using the comparative assessment of two minipublic case studies: the Australian Citizens' Parliament and Italy's Iniziativa di Revisione Civica (Civic Revision Initiative). The application of deliberative capacity as a standard for evaluating mini-publics in systemic terms reveals differences between the cases. The deliberative capacity of both cases overlap, but they do so for different reasons that stem from the interconnections between their specific designs and other components of the deliberative system.
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