Data analytics are now playing a more important role in the modern industrial systems.
Driven by the development of information and communication technology, an information …

Power quality and reliability issues are big challenges to both service provider and
consumers in conventional power grids. The ongoing technological advancements in the …

With the integration of multiple energy systems, there are more and more deterioration risks
of power quality in different energy production, transformation, delivery and consumption …

The rising integration of offshore wind energy into the electric grid provides remarkable
opportunities in terms of environmental sustainability and cost efficiency. However, it poses …

Power quality (PQ) studies have gained huge attention from the academics and the industry
over the past three decades. The main objective of this article is to provide a comprehensive …

The large-scale roll-out of smart meters allows the collection of a vast amount of fine-grained
electricity consumption data. Once analyzed, such data can enable cutting-edge data-driven …

In this paper, a sequence-to-sequence deep learning architecture based on the bidirectional
gated recurrent unit (Bi-GRU) for type recognition and time location of combined power …

The use of electronic loads has improved many aspects of everyday life, permitting more
efficient, precise and automated process. As a drawback, the nonlinear behavior of these …

This paper proposes a novel adversarial scheme for learning from data under harsh
learning conditions of partially labelled samples and skewed class distributions. This novel …

Power quality events caused by renewable-energy integration are usually associated with
complex disturbances; therefore, their type identification is the primary task of subsequent …