Predicting Spatiotemporal Impacts of Weather on Power Systems Using Big Data Science

@inproceedings{Kezunovic2017PredictingSI,
  title={Predicting Spatiotemporal Impacts of Weather on Power Systems Using Big Data Science},
  author={Mladen Kezunovic and Zoran Obradovic and Tatjana Dokic and Bei Zhang and Jelena Stojanovic and Payman Dehghanian and Po-Chen Chen},
  year={2017}
}
Due to the increase in extreme weather conditions and aging infrastructure deterioration, the number and frequency of electricity network outages is dramatically escalating, mainly due to the high level of exposure of the network components to weather elements. Combined, 75% of power outages are either directly caused by weather-inflicted faults (e.g., lightning, wind impact), or indirectly by equipment failures due to wear and tear combined with weather exposure (e.g. prolonged overheating… CONTINUE READING

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