This paper provides a comprehensive review of solutions based on artificial intelligence (AI)
in the urban energy sector, with a focus on their applications and impacts. The study …

The paper's state-of-the-art review focuses on an in-depth evaluation of smart home energy
management systems which employ reinforcement learning-based methods to integrate …

The electrical demand and generation in power systems is currently the biggest source of
uncertainty for an electricity provider. For a dependable and financially advantageous …

Plug-in hybrid electric vehicles (PHEVs) and plug-in electric vehicles (PEVs) have gained
enormous attention for their ability to reduce fuel consumption in transportation and are …

The growing availability of smart meter data has facilitated the development of energy-
saving services like demand response, personalized energy feedback, and non-intrusive …

This paper proposes and implements a smart architecture for Home Energy Management
Systems (HEMS) that enables interoperability among devices from different manufacturers …

This paper presents an in-depth exploration of the application of Artificial Intelligence (AI) in
enhancing the resilience of microgrids. It begins with an overview of the impact of natural …

The global energy crisis has prompted the European Union (EU) to concentrate on
enhancing energy efficiency in the building sector. One promising approach to achieving …

This paper presents an innovative smart energy management system that makes use of IoT
technologies. The system model allows for real-time monitoring, remote control, and cost …

Multiport architectures based on multiwinding transformers allow the connection of multiple
electrical components to achieve smart home functionality. However, existing solutions use …