Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …

These days, endless streams of data are generated by various sources such as sensors,
applications, users, etc. Due to possible issues in sources, such as malfunctions in sensors …

To maintain stable and reliable operations in smart grid, accurate state estimation is of
paramount importance. However, synthesized false data injection attacks could wisely …

Time-series anomaly detection deals with the problem of detecting anomalous timesteps by
learning normality from the sequence of observations. However, the concept of normality …

Wireless Sensors Networks have been the focus of significant attention from research and
development due to their applications of collecting data from various fields such as smart …

As an important part of the ubiquitous power Internet of Things, the distribution Internet of
Things can further improve the automation and informatization level of the distribution …

In recent years, wireless sensor networks have been extensively deployed to collect various
data. Due to the effect of harsh environments and the limitation of the computing and …

Anomaly detection is a major task for ensuring security in WSNs, and they are sensitive to
several attacks, which cause the node to break and generate faulty results. This proposed …

With the fast development of Smart Grid globally, the security issues arise sharply and Non-
Technical Loss (NTL) fraud is one of the major security issues. There are some existing NTL …

As a major form of data, the collection and analysis of time series have been widely used in
many fields. In practice, wireless sensor network is a popular mechanism for data collection …