Smart grids are re-engineering the electricity transmission and distribution system
throughout the world. It is an amalgam of increased digital information with the electrical …

In this paper, we address the problem of asset performance monitoring, with the intention of
both detecting any potential reliability problem and predicting any loss of energy …

Data-driven models are becoming of fundamental importance in electric distribution
networks to enable predictive maintenance, to perform effective diagnosis and to reduce …

The purpose of this paper is to mapping and review what has been done on the topic of
research on predictive maintenance in SCADA (Supervisory Control and Data Acquisition) …

Artificial intelligence (AI) has been used widely in essential fields such as energy, health,
agriculture, finance etc. However, Artificial intelligence is still faced with social, ethical, legal …

The identification and prediction of potential failures can be improved using advanced
analytics to search proactively and reduce risk to improve efficiency in energy generation …

The proliferation of smart meters in the grids has resulted in an explosion of large energy
datasets. Processing such big data is challenging and usually takes a longer time than the …