Thirty years of machine learning: The road to Pareto-optimal wireless networks

J Wang, C Jiang, H Zhang, Y Ren… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
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 …

State of the art in research on microgrids: A review

S Parhizi, H Lotfi, A Khodaei, S Bahramirad - IEEE access, 2015 - ieeexplore.ieee.org
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 …

Machine learning paradigms for next-generation wireless networks

C Jiang, H Zhang, Y Ren, Z Han… - IEEE Wireless …, 2016 - ieeexplore.ieee.org
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 …

Review on control of DC microgrids and multiple microgrid clusters

L Meng, Q Shafiee, GF Trecate, H Karimi… - IEEE journal of …, 2017 - ieeexplore.ieee.org
This paper performs an extensive review on control schemes and architectures applied to dc
microgrids (MGs). It covers multilayer hierarchical control schemes, coordinated control …

Overview of power management strategies of hybrid AC/DC microgrid

F Nejabatkhah, YW Li - IEEE Transactions on power …, 2014 - ieeexplore.ieee.org
Today, conventional power systems are evolving to modern smart grids, where
interconnected microgrids may dominate the distribution system with high penetration of …

Cyber‐physical attacks and defences in the smart grid: a survey

H He, J Yan - IET Cyber‐Physical Systems: Theory & …, 2016 - Wiley Online Library
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 …

Stability and control aspects of microgrid architectures–a comprehensive review

M Ahmed, L Meegahapola, A Vahidnia, M Datta - IEEE access, 2020 - ieeexplore.ieee.org
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 …

Machine learning for wireless communications in the Internet of Things: A comprehensive survey

J Jagannath, N Polosky, A Jagannath, F Restuccia… - Ad Hoc Networks, 2019 - Elsevier
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 …

Unsupervised machine learning-based detection of covert data integrity assault in smart grid networks utilizing isolation forest

S Ahmed, YD Lee, SH Hyun… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

Microgrid supervisory controllers and energy management systems: A literature review

L Meng, ER Sanseverino, A Luna, T Dragicevic… - … and Sustainable Energy …, 2016 - Elsevier
Microgrids (MGs), featured by distributed energy resources, consumption and storage, are
designed to significantly enhance the self-sustainability of future electric distribution grids. In …