Power systems are going through a transition period. Consumers want more active
participation in electric system management, namely assuming the role of producers …

Abstract Advancement in Information and Communication Technology (ICT), automation and
control provide an promising opportunity to implement the Demand Response (DR) program …

The aim of this article is to explore the multiagent reinforcement learning approach for
residential multicarrier energy management. Defining the multiagents system not only …

This paper proposes a hybrid robust-stochastic optimization model for smart home energy
management in day-ahead (DA) and real-time (RT) energy markets which the uncertainties …

To address the primary energy shortage problem, Japan has implemented a series of
policies and measures for residential energy conservation and emission reduction. Among …

With the deepening of China's low-carbon energy transformation, microgrids are an
essential means to promote the consumption of renewable energy. Therefore, improving the …

Regional integrated energy system (RIES) is conductive to integrating distributed renewable
energy and represent a crucial form for constructing low-carbon energy systems in future …

As compensation to power generation dispatch, demand response (DR) enables demand
controllability by changing the consumers' electricity usage patterns, which can be used to …

In this paper, a two-stage stochastic model is put forward for electricity procurement in large
consumers (LCs) with storage system, photovoltaic, wind and geothermal units, slow …

Energy management optimization in residential buildings plays an essential role in
addressing the problem of energy crisis in the world. This paper introduces a novel method …