Artificial intelligence in energy

Nima Abdi; Abdullatif Albaseer; Mohamed Ab-dallah

doi:10.1016/B978-0-44-313219-3.00080-0

Artificial intelligence in energy

Nima Abdi
, Abdullatif Albaseer
, Mohamed Ab-dallah

HBKU College of Science and Engineering

Hamad bin Khalifa University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter explores the transformative impact of Artificial Intelligence (AI) in smart grid (SG) technologies. It explores in more detail the integration of AI for renewable energy management, energy storage optimization, and load forecasting. Key discussions include demand response strategies, the significance of AI in enhancing grid efficiency and reliability, and addressing cybersecurity threats. The chapter also highlights challenges in AI application and future prospects, emphasizing sustainable and efficient energy systems. It serves as a systematic guide on leveraging AI to revolutionize energy management in SGs, showcasing the synergy between advanced technology and sustainable energy practices.

Original language	English
Title of host publication	Comprehensive Energy Systems
Publisher	Elsevier
Pages	Vol2:666-Vol2:698
ISBN (Electronic)	9780443132193
ISBN (Print)	9780443341083
DOIs	https://doi.org/10.1016/B978-0-44-313219-3.00080-0
Publication status	Published - 1 Jan 2025

Keywords

Artificial intelligence
Cybersecurity in energy
Deep learning in energy systems
Demand response
Energy efficiency
Energy storage systems
Grid modernization
Load forecasting
Machine learning applications
Renewable energy integration
Smart grid technologies
Sustainable energy management

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10.1016/B978-0-44-313219-3.00080-0

Cite this

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KW - Cybersecurity in energy

KW - Deep learning in energy systems

KW - Demand response

KW - Energy efficiency

KW - Energy storage systems

KW - Grid modernization

KW - Load forecasting

KW - Machine learning applications

KW - Renewable energy integration

KW - Smart grid technologies

KW - Sustainable energy management

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SN - 9780443341083

SP - Vol2:666-Vol2:698

BT - Comprehensive Energy Systems

PB - Elsevier

ER -

Artificial intelligence in energy

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