The participation of prosumers in demand-response programs is essential for the success of
demand-side management in renewable-powered energy grids. Unfortunately, the …

Energy shortfall and electricity load shedding are the main problems for developing
countries. The main causes are lack of management in the energy sector and the use of non …

With the development of the power internet of things, the traditional centralized computing
pattern has been difficult to apply to many power business scenarios, including power load …

With the increasing penetration of distributed energy resources (DERs) in grid edge,
including renewable generation, flexible loads, and storage, accurate prediction of …

Cyber-physical systems (CPS) have evolved over the years and are now integrated into
intelligent manufactory. The Internet of Things (IoT) has played a significant role in the …

Power load forecasting plays an important role in the efficient operation of power systems.
For traditional load forecasting methods, the reliance on centralized data raises privacy …

The Internet of Energy (IoE) is a distributed paradigm that leverages smart networks and
distributed system technologies to enable decentralized energy systems. In contrast to the …

The liberalization of the electricity market and the expansion of new forms of electricity
production and consumption are paving the way for new smart digital services. These new …

In the contemporary energy landscape, power generation comprises a blend of renewable
and non-renewable resources, with the major supply of electrical energy fulfilled by non …

Energy forecasting is important because it enables infrastructure planning and power
dispatching while reducing power outages and equipment failures. It is well-known that …