The power system worldwide is going through a revolutionary transformation due to the
integration with various distributed components, including advanced metering infrastructure …

Smart grid (SG) networks are newly upgraded networks of connected objects that greatly
improve reliability, efficiency, and sustainability of the traditional energy infrastructure. In this …

In the smart grid, huge amounts of consumption data are used to train deep learning models
for applications such as load monitoring and demand response. However, these …

Achieving low latency and providing real-time services are two of several key challenges in
conventional cloud-based smart grid systems, and hence, there has been an increasing …

Intelligence is one of the most important aspects in the development of our future
communities. Ranging from smart home to smart building to smart city, all these smart …

The previous blockchain data transmission techniques in industrial Internet of Things (IoT)
have low security, high management cost of the trading center, and big difficulty in …

The real-time electricity consumption data can be used in value-added service such as big
data analysis, meanwhile the single user's privacy needs to be protected. How to balance …

Abstract Massive Open Online Courses (MOOCs) have become a paramount online
learning approach for flexible learning methods and extensive learning courses. Different …

During the recent years, the power system has entered a new technological era. The trends
associated with increased commitment to wind farms (WFs) and energy storage systems …

The enhanced utilization of Appliance Load Monitoring (ALM) in customer sites enabled by
Home Energy Management Systems (HEMS) technologies, offers customized services and …