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Unveiling the Critical Role of Artificial Intelligence in Energy Management

Geetha Manoharan, Sunitha Purushottam Ashtikar, M. Nivedha

2024Practice, progress, and proficiency in sustainability11 citationsDOI

Abstract

Recently, the incorporation of artificial intelligence into energy management has emerged as a transformative approach to optimize energy consumption, enhance efficiency, and extenuate environmental impacts. The chapter indulges in understanding the applications, potential advantages, mitigating challenges, and innovative collaboration of artificial intelligence in energy management. Energy management and artificial intelligence can potentially address numerous business problems and lead to revolutionary new developments. The chapter explores how AI-driven approaches facilitate demand forecasting, load balancing, grid optimization, predictive maintenance, and renewable energy integration within diversified energy systems. Additionally, the significance of AI-enabled smart grids and energy-efficient buildings is that they are built with optimized energy usage and a reduced carbon footprint. AI could improve energy operations, efficiency, and renewable energy use, which are needed to build a resilient, sustainable, and collaborative energy environment that stimulates innovation.

Topics & Concepts

PsychologyComputer scienceEnergy Load and Power ForecastingSmart Grid Energy ManagementEnergy Efficiency and Management