The Internet of Things (IoT) is enabled by the latest developments in smart sensors,
communication technologies, and Internet protocols with broad applications. Collecting data …

This paper provides a survey of big data analytics applications and associated
implementation issues. The emphasis is placed on applications that are novel and have …

We propose a mechanism to use data with missing values for designing classifiers which is
different from predicting missing values for classification. Our imputation method uses an …

The solar power penetration in distribution grids is growing fast during the last years,
particularly at the low-voltage (LV) level, which introduces new challenges when operating …

Abstract The deployment of Smart Grid technologies opens new opportunities to develop
new forecasting and optimization techniques. The growth of solar power penetration in …

State estimation (SE) is an important element of power network analysis applications
implemented at control centres, being instrumental in providing reliable data on the system …

Deep learning has been recently used in safety‐critical cyber‐physical systems (CPS) such
as the smart grid. The security assessment of such learning‐based methods within CPS …

This work proposes an innovative method based on autoencoders to perform state
estimation in distribution grids, which has as main advantage the fact of being independent …

This paper presents a new method to identify classes of events, by processing phasor
measurement units (PMU) frequency data through deep neural networks. Deep tapered …

The reliable operation of a power distribution system relies on a good prior knowledge of its
topology and its system state. Although crucial, due to the lack of direct monitoring devices …