Thirty years of machine learning: The road to Pareto-optimal wireless networks
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …
complex compelling applications both in military and civilian fields, where the users are able …
State of the art in research on microgrids: A review
The significant benefits associated with microgrids have led to vast efforts to expand their
penetration in electric power systems. Although their deployment is rapidly growing, there …
penetration in electric power systems. Although their deployment is rapidly growing, there …
Machine learning paradigms for next-generation wireless networks
Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. The …
radically new applications, which require a new wireless radio technology paradigm. The …
Review on control of DC microgrids and multiple microgrid clusters
This paper performs an extensive review on control schemes and architectures applied to dc
microgrids (MGs). It covers multilayer hierarchical control schemes, coordinated control …
microgrids (MGs). It covers multilayer hierarchical control schemes, coordinated control …
Overview of power management strategies of hybrid AC/DC microgrid
Today, conventional power systems are evolving to modern smart grids, where
interconnected microgrids may dominate the distribution system with high penetration of …
interconnected microgrids may dominate the distribution system with high penetration of …
Cyber‐physical attacks and defences in the smart grid: a survey
The smart grid is arguably one of the most complex cyber‐physical systems (CPS). Complex
security challenges have been revealed in both the physical and the cyber parts of the smart …
security challenges have been revealed in both the physical and the cyber parts of the smart …
Stability and control aspects of microgrid architectures–a comprehensive review
Self-governing small regions of power systems, known as “microgrids”, are enabling the
integration of small-scale renewable energy sources (RESs) while improving the reliability …
integration of small-scale renewable energy sources (RESs) while improving the reliability …
Machine learning for wireless communications in the Internet of Things: A comprehensive survey
Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …
wireless communications than ever before. For this reason, techniques such as spectrum …
Unsupervised machine learning-based detection of covert data integrity assault in smart grid networks utilizing isolation forest
Being one of the most multifaceted cyber-physical systems, smart grids (SGs) are arguably
more prone to cyber-threats. A covert data integrity assault (CDIA) on a communications …
more prone to cyber-threats. A covert data integrity assault (CDIA) on a communications …
Microgrid supervisory controllers and energy management systems: A literature review
Microgrids (MGs), featured by distributed energy resources, consumption and storage, are
designed to significantly enhance the self-sustainability of future electric distribution grids. In …
designed to significantly enhance the self-sustainability of future electric distribution grids. In …