State-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review
Syed Saqib Ali,Bong Jun Choi +1 more
TLDR
This paper provides a comprehensive review of the state-of-the-art artificial intelligence techniques to support various applications in a distributed smart grid and discusses how artificial intelligence and market liberalization can potentially help to increase the overall social welfare of the grid.Abstract:
The power system worldwide is going through a revolutionary transformation due to the integration with various distributed components, including advanced metering infrastructure, communication infrastructure, distributed energy resources, and electric vehicles, to improve the reliability, energy efficiency, management, and security of the future power system These components are becoming more tightly integrated with IoT They are expected to generate a vast amount of data to support various applications in the smart grid, such as distributed energy management, generation forecasting, grid health monitoring, fault detection, home energy management, etc With these new components and information, artificial intelligence techniques can be applied to automate and further improve the performance of the smart grid In this paper, we provide a comprehensive review of the state-of-the-art artificial intelligence techniques to support various applications in a distributed smart grid In particular, we discuss how artificial techniques are applied to support the integration of renewable energy resources, the integration of energy storage systems, demand response, management of the grid and home energy, and security As the smart grid involves various actors, such as energy produces, markets, and consumers, we also discuss how artificial intelligence and market liberalization can potentially help to increase the overall social welfare of the grid Finally, we provide further research challenges for large-scale integration and orchestration of automated distributed devices to realize a truly smart gridread more
Citations
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Artificial Intelligence Techniques in Smart Grid: A Survey
Olufemi A. Omitaomu,Haoran Niu +1 more
TL;DR: The paper concludes that the applications of AI techniques can enhance and improve the reliability and resilience of smart grid systems.
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Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm
TL;DR: In this paper , a study on data-driven probabilistic machine learning (ML) techniques and their real-time applications to smart energy systems and networks was conducted to highlight the urgency of this area of research.
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Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
TL;DR: In this article, the authors provide a thorough review from a broad perspective on the state-of-the-art advances of DL in smart grid systems, including federated learning, edge intelligence, and distributed computing.
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Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review
Mujaheed Abdullahi,Yahia Baashar,Hitham Alhussian,Ayed Alwadain,NorShakirah Bt A Aziz,Luiz Fernando Capretz,Said Jadid Abdulkadir +6 more
TL;DR: A systematic literature review that categorize, map and survey the existing literature on AI methods used to detect cybersecurity attacks in the IoT environment and provides an insight into the AI roadmap to detect threats based on attack categories is presented.
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Artificial Intelligence-Based Sensors for Next Generation IoT Applications: A Review
Subhas Chandra Mukhopadhyay,Sumarga Kumar Sah Tyagi,Nagender Kumar Suryadevara,Vincenzo Piuri,Fabio Scotti,Sherali Zeadally +5 more
TL;DR: Sensors, smart data processing, communication protocol, and artificial intelligence which will enable the deployment of AI-based sensors for next-generation IoT applications are reviewed.
References
More filters
Journal ArticleDOI
Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads
Peter Palensky,Dietmar Dietrich +1 more
TL;DR: An overview and a taxonomy for DSM is given, the various types of DSM are analyzed, and an outlook on the latest demonstration projects in this domain is given.
Journal ArticleDOI
Smart Grid Technologies: Communication Technologies and Standards
Vehbi Cagri Gungor,Dilan Sahin,Taskin Kocak,Salih Ergut,Concettina Buccella,Carlo Cecati,Gerhard P. Hancke +6 more
TL;DR: The main objective of this paper is to provide a contemporary look at the current state of the art in smart grid communications as well as to discuss the still-open research issues in this field.
Journal ArticleDOI
A review on the forecasting of wind speed and generated power
TL;DR: A bibliographical survey on the general background of research and developments in the fields of wind speed and wind power forecasting and further direction for additional research and application is proposed.
Journal ArticleDOI
Demand Side Management in Smart Grid Using Heuristic Optimization
TL;DR: A heuristic-based Evolutionary Algorithm that easily adapts heuristics in the problem was developed for solving this minimization problem and results show that the proposed demand side management strategy achieves substantial savings, while reducing the peak load demand of the smart grid.
Journal ArticleDOI
A Survey on Smart Grid Potential Applications and Communication Requirements
Vehbi Cagri Gungor,Dilan Sahin,Taskin Kocak,Salih Ergut,Concettina Buccella,Carlo Cecati,Gerhard P. Hancke +6 more
TL;DR: This paper overviews the issues related to the smart grid architecture from the perspective of potential applications and the communications requirements needed for ensuring performance, flexible operation, reliability and economics.