Home Energy Management Systems (HEMSs) may not be able to solve network issues,
especially in the presence of high penetration level of Electric Vehicles (EVs) and decentral …

Environmental and climate change concerns are pushing the rapid development of new
energy resources (DERs). The Energy Internet (EI), with the power-sharing functionality …

Electricity is establishing ground as a means of energy, and its proportion will continue to
rise in the next generations. Home energy usage is expected to increase by more than 40 …

This paper proposes an electric vehicle (EV) charge-discharge management framework for
the effective utilization of photovoltaic (PV) output through coordination based on information …

With the smart grid and smart homes development, different data are made available,
providing a source for training algorithms, such as deep reinforcement learning (DRL), in …

Implementing demand side management programs in a residential area causes to increase
the role of consumers in managing the total power network. Moreover, the owner of the …

In view of the plurality of ac and dc microgrids connected to the power grid, this paper
proposes a bi-level two-stage robust optimal scheduling model for ac/dc hybrid multi …

This paper proposes a distributed optimization algorithm for scheduling the energy
consumption of multiple smart homes with distributed energy resources. In the proposed …

This paper presents a data-driven approach that leverages reinforcement learning to
manage the optimal energy consumption of a smart home with a rooftop solar photovoltaic …

分布式可再生能源(Distributed Energy Resources, DER) 以微电网的形式大规模并网,
其稳定运行面临着挑战. 针对微电网中可再生能源出力的不确定性及调控过程中柔性负荷调整量 …