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نهمین کنفرانس بین المللی فناوری و مدیریت انرژی
Comprehensive Review of Artificial Intelligence Applications in Smart Grid Operations
نویسندگان :
Amir Meydani
1
Hossein Shahinzadeh
2
Ali Ramezani
3
Majid Moazzami
4
Hamed Nafisi
5
Hossein Askarian-Abyaneh
6
1- دانشگاه صنعتی امیرکبیر (پلی تکنیک تهران)
2- دانشگاه صنعتی امیرکبیر (پلی تکنیک تهران)
3- دانشگاه صنعتی امیرکبیر (پلی تکنیک تهران)
4- دانشگاه آزاد اسلامی واحد نجف آباد
5- دانشگاه صنعتی امیرکبیر (پلی تکنیک تهران)
6- دانشگاه صنعتی امیرکبیر (پلی تکنیک تهران)
کلمات کلیدی :
Smart Grid (SG)،Microgrid (MG)،Artificial Intelligence (AI)،Deep Learning (DL)،Machine Learning (ML)
چکیده :
The present electric power system is undergoing a notable shift towards the implementation of Smart Grids (SG), which are seen as a promising avenue for enhancing grid stability and optimizing energy management. The current state of transition is characterized by dynamic and swift alterations, necessitating the utilization of numerous sophisticated approaches to effectively analyze the substantial volume of data produced by diverse entities. In this particular context, SG is closely associated with AI as an emerging technology that aim to establish a decentralized and intelligent energy paradigm. AI is intended to enhance the level of intelligence in both supervisory and operational decision-making processes. This article presents an overview of AI techniques, followed by an analysis of their applications in the context of SG and microgrid (MG) systems. This analysis is conducted through a comprehensive examination of 94 recent scholarly articles. The aim of this paper is to enhance the reader's comprehension regarding the potentials of AI within the context of SG and MG.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0