The home energy management (HEM) sector is going through an enormous change that
includes important elements like incorporating green power, enhancing efficiency through …

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 proliferation of the number of Smart Buildings (SBs) and the fleet of Electric Vehicles
(EVs) in Distribution Systems (DSs) makes the need for new strategies to coordinate them …

Emissions trading systems (ETS) are market-driven mechanisms designed to reduce
greenhouse gas emissions (GHGs) by levying the cost of carbon. Although ETS has been …

With the development of energy Internet and intelligent buildings, the interactions of supply
and demand sides of integrated energy system (IES) offer an attractive route for flexible …

In a multi-regional integrated energy system (MIES), optimal scheduling under random
renewable supply and user demand is crucial to promote the process of carbon neutrality …

Multi-building multi-energy virtual power plants (MB-ME-VPPs) show great promise for the
aggregation and coordination of distributed flexible resources across multiple integrated …

Abstract Climate actions (SDG-13) aim at limiting global warming by targeting carbon
emissions reduction. With the energy industry recognized as a significant CO 2 emitter, SDG …

With the increasing penetration of distributed renewable energy, prosumers, a kind of
customers capable of producing power, are able to share the information of the power …

Federated learning is a new learning paradigm that decouples data collection and model
training via multi-party computation and model aggregation. As a flexible learning setting …