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Transforming the Energy Sector: Unleashing the Potential of AI-Driven Energy Intelligence, Energy Business Intelligence, and Energy Management System for Enhanced Efficiency and Sustainability

Mahdieh Zakizadeh, Mazyar Zand

202413 citationsDOI

Abstract

This article explores the use of artificial intelligence (AI)-driven artificial intelligence, business intelligence, and energy management to improve the efficiency and sustainability of the electronics industry. Transformation of the energy system is essential to solve the global problems caused by climate change and energy demand. To achieve this, it is important to advance artificial intelligence technology and use its potential to transform the energy system. This article presents research on the integration of artificial intelligence and energy management to optimize energy use and increase sustainability, while also identifying benefits and issues associated with its use. The findings highlight the importance of using AI-powered energy intelligence and business intelligence to increase energy efficiency, promote sustainable practices, and achieve electricity usage targets for a greener, more efficient future. In this, Energy Intelligence (EI), Energy Business Intelligence (EBI) and Energy Management Systems (EMS) are taken into account and addressed.

Topics & Concepts

SustainabilityEnergy (signal processing)Energy managementEfficient energy useBusiness intelligenceBusinessKnowledge managementComputer scienceEnvironmental economicsEngineeringEconomicsElectrical engineeringBiologyStatisticsMathematicsEcologyEnergy Efficiency and Management