The Special Issue “Demand Response in Smart Grids” includes 10 papers [...]

The COVID-19 pandemic has significantly affected the energy sector. new behavior of industrial and non-commercial consumers changes consumption model. In addition, constraints associated with coronavirus crisis have led to environmental effects from declining economic activity. research is based on evidence around world showing significant reductions in emissions improved air quality. This situ...

One of the main challenges of today’s society is the need to fulfill at the same time the two sides of the dichotomy between the growing energy demand and the need to look after the environment. Smart Grids are one of the answers: intelligent energy grids which retrieve data about the environment through extensive sensor networks and react accordingly to optimize resource consumption. In order ...

The need to improve quality and reliability of Power Systems has contributed to the advancement of research on Smart Grids and related topics. Some challenges that motivate the deployment of such researches include the increasing in energy consumption, environmental aspects, the integration of distributed and renewable generation, and new advances in computer aided technologies and automation. ...

Since its inception, the smart grid concept has revolutionized power systems worldwide. Concurrently, energy industry witnessed significant changes, such as clean transition, digitalization, and artificial intelligence (AI) revolution. These changes have profoundly impacted technology consumers. As such, evolved into a multidisciplinary research area encompassing engineering, information commun...

The goal of the Reference Architecture for Secure Smart Grids in Austria (RASSA) initiative is to design and establish a technical reference architecture specification in coordination with all relevant stakeholders. This goal is realized across multiple projects. This paper first motivates the need for developing a coordinated smart grids reference architecture for Austria involving all relevan...

This paper presents new dynamic topology adaptation strategies for distributed estimation in smart grids systems. We propose a dynamic exhaustive search–based topology adaptation algorithm and a dynamic sparsity–inspired topology adaptation algorithm, which can exploit the topology of smart grids with poor–quality links and obtain performance gains. We incorporate an optimized combining rule, n...

e electricity supply chain is changing, due to increasing awareness for sustainability and an improved energy e›ciency. e traditional infrastructure where demand is supplied by centralized generation is subject to a transition towards a Smart Grid. In this Smart Grid, sustainable generation from renewable sources is accompanied by controllable distributed generation, distributed storage and dem...