Artificial Intelligence and Machine Learning for Energy Consumption and Production in Emerging Markets: A Review

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)

Abstract

An increase in consumption and inefficiency, fluctuating trends in demand and supply, and a lack of critical analytics for successful management are just some of the problems that the energy business throughout the world is currently facing. This study set out to assess the potential contributions that AI and ML technologies could make to the expansion of energy production in developing countries, where these issues are more pronounced because of the prevalence of numerous unauthorized connections to the electricity grid, where a large amount of energy is not being measured or paid for. This study primarily aims to address issues that arise due to frequent power outages and widespread lack of access to energy in a wide range of developing countries. Findings suggest that AI and ML have the potential to make major contributions to the fields of predictive turbine maintenance, energy consumption optimization, grid management, energy price prediction, and residential building energy demand and efficiency assessment. A discussion of what has to be done so that developing nations may reap the benefits of artificial intelligence and machine learning in the energy sector concluded the paper.

Original languageEnglish
Article number745
JournalEnergies
Volume16
Issue number2
DOIs
Publication statusPublished - Jan 2023
Externally publishedYes

Keywords

  • artificial intelligence
  • energy sector
  • machine learning

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Building and Construction
  • Fuel Technology
  • Engineering (miscellaneous)
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Artificial Intelligence and Machine Learning for Energy Consumption and Production in Emerging Markets: A Review'. Together they form a unique fingerprint.

Cite this