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 …

The modern energy requirements and the orientation towards Renewable Energy Sources
(RES) integration promote the transition of distribution grids from passive, unidirectional …

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 …

This paper presents a review of the literature on state estimation (SE) in power systems.
While covering works related to SE in transmission systems, the main focus of this paper is …

This paper presents a cooperative multi-objective optimization for the networked microgrids
energy management. We introduce the Independence Performance Index (IPI) for the MGs …

The energy management system becomes increasingly indispensable with the extensive
penetration of new players in the distribution networks, such as renewable energy, storage …

Cyber-physical systems embed software into the physical world. They appear in a wide
range of applications such as smart grids, robotics, and intelligent manufacturing. Cyber …

Distribution system state estimation (DSSE) is a core task for monitoring and control of
distribution networks. Widely used algorithms such as Gauss-Newton perform poorly with …

The linearization of a power flow (PF) model is an important approach for simplifying and
accelerating the calculation of a power system's control, operation, and optimization …

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 …