“…Further promising future work is expected in the perspective of coping with the problems dealt with in this paper by adopting more advanced feedback control and machine learning methodologies also able to exploit, in real-time, the information embedded in historical data collected in the SCADA system, as SAIFI and SAIDI [25] indicators history, and/or the real-time feedbacks provided by the network users or their smart meters; this way it could be possible to perform dynamic, personalized, context-aware control actions, tightly tailored to each specific operational situation; in this respect, mutatis mutandis, approaches similar to the ones which are being adopted in the fields of Energy Control [26], [27], Traffic Control [28], [29], Resource Management [30], [31], personalized Quality of Experience Control [32], [33], and Transportation Systems [34], can be used.…”