{"title":"AI as a solution for tackling the sustainable energy challenge in developing countries","authors":"The Cuong Nguyen","doi":"10.1016/j.esd.2025.101761","DOIUrl":null,"url":null,"abstract":"<div><div>Artificial Intelligence (AI) holds significant promise for advancing sustainable energy in developing countries by enhancing electricity demand forecasting and optimizing power grids to reduce energy losses. However, challenges such as inaccurate data during disruptions like natural disasters or cyberattacks necessitate cautious implementation. High costs of AI adoption, coupled with the need for robust digital infrastructure and skilled workforces, pose barriers, as many nations struggle with training and standardization. Privacy issues from detailed consumption tracking can spark public resistance, requiring transparent systems to build trust. Dependence on foreign AI technologies raises energy security concerns, emphasizing the importance of domestic innovation. Successful AI deployment demands coordinated efforts among government, industry, and research to establish clear policies that address conflicts and ensure sustainability. These factors are critical for harnessing AI to achieve efficient and equitable energy solutions.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"87 ","pages":"Article 101761"},"PeriodicalIF":4.4000,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy for Sustainable Development","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0973082625001115","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial Intelligence (AI) holds significant promise for advancing sustainable energy in developing countries by enhancing electricity demand forecasting and optimizing power grids to reduce energy losses. However, challenges such as inaccurate data during disruptions like natural disasters or cyberattacks necessitate cautious implementation. High costs of AI adoption, coupled with the need for robust digital infrastructure and skilled workforces, pose barriers, as many nations struggle with training and standardization. Privacy issues from detailed consumption tracking can spark public resistance, requiring transparent systems to build trust. Dependence on foreign AI technologies raises energy security concerns, emphasizing the importance of domestic innovation. Successful AI deployment demands coordinated efforts among government, industry, and research to establish clear policies that address conflicts and ensure sustainability. These factors are critical for harnessing AI to achieve efficient and equitable energy solutions.
期刊介绍:
Published on behalf of the International Energy Initiative, Energy for Sustainable Development is the journal for decision makers, managers, consultants, policy makers, planners and researchers in both government and non-government organizations. It publishes original research and reviews about energy in developing countries, sustainable development, energy resources, technologies, policies and interactions.