This study presents a smart energy management system (SEMS) to optimise the operation of
the microgrid. The SEMS consists of power forecasting module, energy storage system …

We present a review of the diversity of concepts and motivations for improving the
concentration and resolution of timefrequencydistributions (TFDs) along the individual …

Recently, network security has become a major challenge in communication networks. Most
wireless networks are exposed to some penetrative attacks such as signal interception …

We describe a novel extension of the Poisson regression model to be based on a multi-layer
perceptron, a type of neural network. This relaxes the assumptions of the traditional Poisson …

The extraction of the frequency components of a signal can be useful for the characterization
of the underlying system. One method for isolating a frequency component of a signal is by …

Fires caused by DC series arcs are one of the primary threats to the safety of photovoltaic
(PV) systems. Accurate fault location is extremely helpful in protecting PV plants, but existing …

A class of time-frequency distributions with complex-lag argument is proposed. It is based on
the ambiguity domain representations of real and complex-lag moment, combined to provide …

This work objectively evaluates and presents a quantitative analysis of concentrated time-
frequency distributions (TFDs) obtained through Network of Expert Neural Networks …

Joint time-frequency representations offer a rich representation of event related potentials
(ERPs) that cannot be obtained through individual time or frequency domain analysis. This …

Data science has been empowered with the emerging concept of big data enabling data
scalability in many ways. Effective prediction systems for complex analytical problems …