The area of building energy management has received a significant amount of interest in
recent years. This area is concerned with combining advancements in sensor technologies …

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

The field of smart meter data analytics is a relatively young field that recently grew due to the
wealth of data generated from smart meters. Recent progress in high-performance …

Domestic hot water accounts for approximately 15% of the total residential energy
consumption in Europe, and most of this usage happens during specific periods of the day …

Residential buildings are large consumers of energy. They contribute significantly to the
demand placed on the grid, particularly during hours of peak demand. Demand‐side …

The smart grid paradigm and the development of smart meters have led to the availability of
large volumes of data. This data is expected to assist in power system planning/operation …

In multi-objective multi-agent systems (MOMASs), agents explicitly consider the possible
trade-offs between conflicting objective functions. We argue that compromises between …

In smart grid infrastructure, multimedia communication plays an important role in various
applications, for instance, load monitoring, automatic smart meter reading, and energy …

In Smart Grid (SG), energy management in residential houses has gained widespread
popularity with the increasing population and demand for energy. Residential Energy …

Increased urbanization is putting a strain on the limited shared urban resources, for
example, road space, energy, and clean air and water. Smart cities leverage technology to …