The scope of this paper is to present an EU-28 overview of the smart meter roll-out implementation progress. The study is based on publicly available information and presents a traffic light map with the deployment status by mid-2017. A series of particular cases are approached and a gap between the European Commission recommendation, expected diffusion rate and actual deployment is identified. The study further provides some possible causes considering the number of metering points available at EU-28 level, country specific assumed targets and macro-environmental factors.
In the context of emerging technologies and increased consumer awareness, device interoperability and portability is becoming one of the most important features in today's market. A study based on the level of interoperability as defined in the SGAM for commercially available smart meters is conducted in this paper. The findings focus on available information for the communication layer of smart meters and propose a set of interoperability levels based on communication performances and dynamic behaviour.
The emergence of concepts, policies and applications like smart grid, energy communities, carbon footprint reduction, energy-efficient consumption, demand response, demand side management enables the development and implementation of algorithms and procedures dedicated to the analysis of domestic energy consumption. In this paper a method of modelling and forecasting is presented and an optimization of electric energy consumption using machine learning and a cost function based on local peaks identified in load curves is proposed.
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