The future smart power grid where Distributed Generations (DGs) are highly integrated and
self-healing is required is intended to provide reliable and quality power in economic and …

The distribution of the power transformers at a far distance from the electrical plants
represents the main challenge against the diagnosis of the transformer status. This paper …

Power transformers are an indispensable equipment in power transmission and distribution
systems, and failures or hidden defects in power transformers can cause operational and …

This paper proposes a direct model for conditional probability density forecasting of
residential loads, based on a deep mixture network. Probabilistic residential load forecasting …

With the grid-connected application of renewable energy sources such as wind and
photovoltaic power, the nonlinearity and fluctuation of load data makes load forecasting …

One of the critical challenges in wind energy development is the uncertainty quantification.
Prior knowledge about the wind speed in look-ahead times in shape of probabilistic …

Supervised learning-based methods have been widely used for fault diagnosis of rotating
machinery. The performance of these methods usually relies on the labeled fault samples …

Residential electric vehicle (REV) is an advanced technology with a rapid growth rate in
transportation and electric grids. One key challenge in the operation of REVs is the necessity …

Interturn short circuit fault of distribution transformer winding occurs frequently and is difficult
to accurately real-time monitoring, which seriously affects the reliability of the distribution …

The reliability and stability of differential protection in power transformers could be
threatened by several types of inferences, including magnetizing inrush currents, current …