Prosumer in smart grids based on intelligent edge computing: A review on Artificial Intelligence Scheduling Techniques

Sami, Ben Slama

doi:10.1016/j.asej.2021.05.018

Cited by 41 publications

(24 citation statements)

References 189 publications

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“…ICTs are essential to the HEM system's ability to create intelligent energy management strategies and an ideal scheduler (Kurukuru et al 2021). Integrating storage batteries and RES into the network to decrease energy expenses for savvy consumers involves the incorporation of optimization algorithms and ANN in HEM devices (Slama 2022). To efficiently coordinate the scheduling of appliances such as the washing machine, water heater, refrigerator and air conditioner in a smart home, an advanced hybrid approach combining the ANN and lightning search algorithm determines the ideal arrangement of circuits in the unseen layers of the ANN (Liu et al 2022).…”

Section: Management Of Powermentioning

confidence: 99%

Review on smart grids and renewable integration: An artificial intelligence-powered perspective

Nagappan,

Chaudhary,

Doda

et al. 2024

Multidiscip. Rev.

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Micro-grids have been rising as a component of the smart grid (SG), power management systems and integrating renewable energy sources (RES). The integration of various distributed components such as modern measuring facilities, connectivity and electric transportation, are causing an exciting change in the grid around the world. The purpose of this transformation is to advance the subsequent power systems’ dependability, renewable energy management and security. In this study, we offer a systematic review of innovative (artificial intelligence AI) approaches for supporting diverse demands in a distributed SG. In particular, we examine the way that artificial approaches can help with the integration of RES, SG and power management. We also address how AI can contribute to enhancing the general social welfare of the SG, considering it encompasses a variety of consumers, including energy producers, industries and consumption. Lastly, we provide additional studies for the significant coordination, along with the integration of autonomous separated devices that highlight several unresolved issues and future directions, to construct an incredible SG.

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Section: Management Of Powermentioning

confidence: 99%

Review on smart grids and renewable integration: An artificial intelligence-powered perspective

Nagappan,

Chaudhary,

Doda

et al. 2024

Multidiscip. Rev.

View full text Add to dashboard Cite

show abstract

“…The edge computing classifications are depicted in Figure 6 [38,39]. Peak-load shifting and real-time load-demand balancing to provide optimal options for power generation scheduling are examples of using edge computing proposed in smart grid applications [40]. (4) Physical entities: The term "physical entities" refers to different electrical components of the power grid, spread across the power grid as basic components of the power system, conducting distributed sensing, and acting.…”

Section: Iots From the Perspective Of Information And Communications ...mentioning

confidence: 99%

A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook

et al. 2022

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Swift population growth and rising demand for energy in the 21st century have resulted in considerable efforts to make the electrical grid more intelligent and responsive to accommodate consumers’ needs better while enhancing the reliability and efficiency of modern power systems. Internet of Things (IoT) has appeared as one of the enabling technologies for smart energy grids by delivering abundant cutting-edge solutions in various domains, including critical infrastructures. As IoT-enabled devices continue to flourish, one of the major challenges is security issues, since IoT devices are connected through the Internet, thus making the smart grids vulnerable to a diverse range of cyberattacks. Given the possible cascading consequences of shutting down a power system, a cyberattack on a smart grid would have disastrous implications for the stability of all grid-connected infrastructures. Most of the gadgets in our homes, workplaces, hospitals, and on trains require electricity to run. Therefore, the entire grid is subject to cyberattacks when a single device is hacked. Such attacks on power supplies may bring entire cities to a standstill, resulting in massive economic losses. As a result, security is an important element to address before the large-scale deployment of IoT-based devices in energy systems. In this report, first, we review the architecture and infrastructure of IoT-enabled smart grids; then, we focus on major challenges and security issues regarding their implementation. Lastly, as the main outcome of this study, we highlight the advanced solutions and technologies that can help IoT-enabled smart grids be more resilient and secure in overcoming existing cyber and physical attacks. In this regard, in the future, the broad implementation of cutting-edge secure and data transmission systems based on blockchain techniques is necessary to safeguard the entire electrical grid against cyber-physical adversaries.

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“…Artificial intelligence refers to the ability of computer systems to process data with high accuracy and learn from it to achieve specific purposes and tasks through flexible adaptation and the growth of new applications [1][2][3][4]. At the beginning of the evolution of artificial intelligence systems, they worked in a specific manner, which is the first generation, as they are organized for the purposes of face and voice recognition, and they are widely used today.…”

Section: Introductionmentioning

confidence: 99%

The Role of Artificial Intelligence in Emergency Medicine: A Comprehensive Overview

2023

Mesopotamian Journal of Artificial Intelligence in Healthcare

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In the era of the development of information technology, artificial intelligence has become a vital part of the process of developing electronic applications and platforms. Recent years have witnessed tremendous growth in the adoption of artificial intelligence and machine learning techniques in healthcare services and helping healthcare workers to track patients and produce medicines, as well as in emergency medicine. The possibilities of artificial intelligence in the medical domain are enormous and include magnetic imaging applications, disease prediction, continuous monitoring of vital signs, and monitoring the spread of epidemics. This article will discuss the importance and role of artificial intelligence in emergency medicine while highlighting its profitable contributions to assisting healthcare workers.

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Prosumer in smart grids based on intelligent edge computing: A review on Artificial Intelligence Scheduling Techniques

Cited by 41 publications

References 189 publications

Review on smart grids and renewable integration: An artificial intelligence-powered perspective

Review on smart grids and renewable integration: An artificial intelligence-powered perspective

A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook

The Role of Artificial Intelligence in Emergency Medicine: A Comprehensive Overview

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