Smart energy community, energy community or many other variants of this name has been
researched since the 70s but has gained more prominence in the last decade. In order to …

The application of Machine Learning (ML) in healthcare has opened unprecedented
avenues for predictive analytics, diagnostics, and personalized medicine. However, the …

Traditionally, energy consumers pay non-commodity charges (eg, transmission,
environmental and network costs) as a major component of their energy bills. With the …

Today's electricity system is undergoing a transformation from a model of centralized
electricity generation, to a more decentralized paradigm, where a large number of small …

Increasing population and modern lifestyle have raised energy demands globally. Demand
Side Management (DSM) is one important tool used to manage energy demands. It employs …

Energy market transition, which is enabled by new affordable energy technologies and
digitalization, opens novel opportunities for develo** innovative energy solutions. These …

Along with the technical feasibility of microgrids, the importance of supervisory
communications, computing, and control (CCC) systems that are necessary to operate a …

In the deregulated electricity markets, trading prices are determined by the offer-demand
mechanism, and retail consumers can negotiate tariffs with their supplier of choice. For …

Smart energy systems refer to the use of advanced technologies and systems to optimize the
generation, distribution, and consumption of energy. The main goal of such a concept is to …

This paper introduces a decision making framework for aggregating Microgrids and/or other
small energy producers and consumers (ie prosumers) into groups, whose purpose is to …