Intelligent energy management in renewable-based power distribution applications, such as
microgrids, smart grids, smart buildings, and EV systems, is becoming increasingly important …

The unprecedented proliferation of electric vehicles is envisioned to revolutionize the
Intelligent Transportation System as an energy-efficient and environment-friendly alternative …

The internet of things (IoT) is an important data source for data science technology,
providing easy trends and patterns identification, enhanced automation, constant …

With the continuous development of the global economy, the demand for natural gas is
increasing year by year. At the same time, the widespread adoption of emission reduction …

Reliable smart charging requires forecasting the charging behavior of EVs. Deep learning
algorithms could present a solution. However, deep neural networks (DNNs) require a large …

Owing to the high energy demand of buildings, which accounted for 36% of the global share
in 2020, they are one of the core targets for energy-efficiency research and regulations …

The penetration of distributed energy resources (DERs) has changed the role of a consumer
to a prosumer, ie, producer and consumer. This new role provides the opportunity for peer-to …

With the advent of the Distributed Energy Resources within smart grid systems, traditional
demand response management (DRM) models need to be redesigned to capture …

The building sector has been recognized as one of the primary sectors for worldwide energy
consumption. Improving the energy efficiency of the building sector can help reduce the …

This paper provides a comprehensive overview and analysis of state-of-the-art technological
advancements in building integration in smart grids, with a focus on enabling their …