The smart grid is enabling the collection of massive amounts of high-dimensional and multi-
type data about the electric power grid operations, by integrating advanced metering …

Smartgrid is a paradigm that was introduced into the conventional electricity network to
enhance the way generation, transmission, and distribution networks interrelate. It involves …

Precise charging time prediction can effectively mitigate the inconvenience to drivers
induced by inevitable charging behavior throughout trips. Although the effectiveness of the …

With an elevating demand and use of power electronics equipment, green energy and the
development of smart grids, power quality disturbance detection and classification holds …

Faults in power distribution networks cause customer minute and economic losses. A crucial
part of the protection system of such grids is effective fault diagnosis for the acceleration of …

This paper proposes an intelligent framework for the fault diagnosis of centrifugal pumps
(CPs) based on wavelet coherence analysis (WCA) and deep learning (DL). The fault …

In this article, the fault diagnosis problem for power converters is considered. Given that the
existing fault diagnosis models rarely address the problems of the data noise and the new …

This article focuses on the local demagnetization fault recognition research of permanent
magnet synchronous linear motor (PMSLM) and realizes the accurate identification of the …

This paper presents a novel framework for classifying ongoing conditions in centrifugal
pumps based on signal processing and deep learning techniques. First, vibration signals …

The most critical issue in time series data is predicting future data values. Recently, an
ensemble model combining multiple models with superior predictive performance has …