This paper conducts a comprehensive study on the application of big data and machine
learning in the electrical power grid introduced through the emergence of the next …

The Smart Grid, regarded as the next generation power grid, uses two-way flows of
electricity and information to create a widely distributed automated energy delivery network …

The smart grid is widely considered to be the informationization of the power grid. As an
essential characteristic of the smart grid, demand response can reschedule the users' …

Demand Response Management (DRM) is a key component in the smart grid to effectively
reduce power generation costs and user bills. However, it has been an open issue to …

In this paper, we study a dynamic pricing and energy consumption scheduling problem in
the microgrid where the service provider acts as a broker between the utility company and …

This paper proposes a real-time pricing scheme that reduces the peak-to-average load ratio
through demand response management in smart grid systems. The proposed scheme …

In this paper, we propose a new model of demand response management for the future
smart grid that integrates plug-in electric vehicles and renewable distributed generators. A …

Nowadays, the importance of energy management and optimization by means of smart
devices has arisen as an important issue. On the other hand, the intelligent application of …

The smart grid, as one of typical applications supported by Internet of Things, denoted as a
re-engineering and a modernization of the traditional power grid, aims to provide reliable …

Although the North American power grid has been recognized as the most important
engineering achievement of the 20th century, the modern power grid faces major challenges …