Power quality and reliability issues are big challenges to both service provider and consumers in conventional power grids. The ongoing technological advancements in the …
Y Wang, Q Chen, T Hong… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The widespread popularity of smart meters enables an immense amount of fine-grained electricity consumption data to be collected. Meanwhile, the deregulation of the power …
Microgrids can act as emergency sources to serve critical loads when utility power is unavailable. This paper proposes a resiliency-based methodology that uses microgrids to …
Big data has potential to unlock novel groundbreaking opportunities in power grid that enhances a multitude of technical, social, and economic gains. As power grid technologies …
K Chen, J Hu, Y Zhang, Z Yu… - IEEE Journal on Selected …, 2019 - ieeexplore.ieee.org
This paper develops a novel graph convolutional network (GCN) framework for fault location in power distribution networks. The proposed approach integrates multiple measurements at …
In the recent years, the Smart Grid (SG) system faces various challenges like the ever- increasing energy demand, the enormous growth of renewable energy sources (RES) with …
C Chen, J Wang, D Ton - Proceedings of the IEEE, 2017 - ieeexplore.ieee.org
Recent severe power outages caused by extreme weather hazards have highlighted the importance and urgency of improving the resilience of the electric power grid. As the …
This paper provides a survey of big data analytics applications and associated implementation issues. The emphasis is placed on applications that are novel and have …
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 …