… predicted approaching hurricane events, high computational complexity/time limits their
application for a real time proactive prediction … power distribution systems line outage prediction …

… An SVM machine learning tool was used in [32] for the identification of fault type and
location in power distribution system with distributed generation. SVM based smart relays for …

… In many occasions, disturbances cannot be predicted in … and thunderstorms which can be
predicted in advance. In these … scenarios, fragility curves of power distribution lines are used in …

… advancements in prediction technologies have motivated the power distribution utilities to
… significantly reduced [2], forcing the power distribution systems (PDS) to operate with limited …

… Failure prediction for proactive fault management in … brought additional uncertainties in power
distribution systems. On the … proactive grid management as presented in [1]. In this sense “…

… To address this issue, this paper firstly analyzes the error distribution of prediction models
under various neural networks (CNN, CNN-GRU, DNN, ConvLSTM, ELM, GBDT, AR, TREE …

… distribution systems, as well as microgrids and wide-area monitoring systems. One key initiative
is to develop a predict-… The word ‘‘proactive’’ means ‘‘to act now in anticipation of future …

… of HSR power equipment is proposed toward the goal of proactive main… and the predictor,
to not only accurately predict future … proactively to deal with potential data deficiency problems. …

… are usually predicted in advance which can enable the proactive control actions to … power
distribution infrastructure. It must be noted that Ri is an indicator of the quantity of critical power …

… Abstract—The optimal utilisation of distribution grids requires the proactive management of
… In this context, proactive control based on predictions for energy demand and generation is …