AI-Driven Smart Power Systems: Innovations, Challenges, and the Road Ahead

Artificial Intelligence (AI) is no longer just a futuristic concept-it's already reshaping the way we generate, transmit, and consume electricity.When integrated with smart power systems, AI offers enormous potential to boost efficiency, enhance reliability, and drive sustainability.This review explores the promising opportunities and pressing challenges that come with AI-enabled smart power infrastructure.It dives into the latest AI advancements-from machine learning (ML) and deep learning (DL) to reinforcement learning (RL) and smart optimization algorithms-and examines their real-world applications across power generation, distribution, and consumption.At the same time, it doesn't shy away from the complexities: cyber security, computational demands, and ethical dilemmas are all on the table.Ultimately, this paper provides a people-centered, future-oriented perspective on the AI-powered transformation of the energy sector.

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Publication Details

Journal
Journal of Convergence in Technology and Management Global Nexus
Published
2025-01-01
DOI
https://doi.org/10.70965/jctmgn.vol.1.issue2.9
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Driven Smart Power Systems: Innovations, Challenges, and the Road Ahead

Manpreet Singh Manna, Arnab Ganguly, Amartya Roy, Abhik Hazra et al.
Journal of Convergence in Technology and Management Global Nexus
Energy Load and Power Forecasting
article

AI-Driven Smart Power Systems: Innovations, Challenges, and the Road Ahead

Manpreet Singh Manna, Arnab Ganguly, Amartya Roy, Abhik Hazra, Rakesh Naskar
article en

Abstract

Artificial Intelligence (AI) is no longer just a futuristic concept-it's already reshaping the way we generate, transmit, and consume electricity.When integrated with smart power systems, AI offers enormous potential to boost efficiency, enhance reliability, and drive sustainability.This review explores the promising opportunities and pressing challenges that come with AI-enabled smart power infrastructure.It dives into the latest AI advancements-from machine learning (ML) and deep learning (DL) to reinforcement learning (RL) and smart optimization algorithms-and examines their real-world applications across power generation, distribution, and consumption.At the same time, it doesn't shy away from the complexities: cyber security, computational demands, and ethical dilemmas are all on the table.Ultimately, this paper provides a people-centered, future-oriented perspective on the AI-powered transformation of the energy sector.

Journal of Convergence in Technology and Management Global NexusVol. 1(2)
Memorial Foundation (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 86%
Energy Load and Power Forecasting
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AI-Driven Smart Power Systems: Innovations, Challenges, and the Road Ahead — Manpreet Singh Manna, Arnab Ganguly, et al. · Journal of Convergence in Technology and Management Global Nexus (2025) | TGRS Research Map | TGRS