Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

Title

Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

Subject

Artificial intelligence
Big data
Decision making
Energy demand
Energy digitization
Renewable energy

Description

The energy industry is at a crossroads. Digital technological developments have the potential to change our energy supply, trade, and consumption dramatically. The new digitalization model is powered by the artificial intelligence (AI) technology. The integration of energy supply, demand, and renewable sources into the power grid will be controlled autonomously by smart software that optimizes decision-making and operations. AI will play an integral role in achieving this goal. This study focuses on the use of AI techniques in the energy sector. This study aims to present a realistic baseline that allows researchers and readers to compare their AI efforts, ambitions, new state-of-the-art applications, challenges, and global roles in policymaking. We covered three major aspects, including: i) the use of AI in solar and hydrogen power generation
(ii) the use of AI in supply and demand management control
and (iii) recent advances in AI technology. This study explored how AI techniques outperform traditional models in controllability, big data handling, cyberattack prevention, smart grid, IoT, robotics, energy efficiency optimization, predictive maintenance control, and computational efficiency. Big data, the development of a machine learning model, and AI will play an important role in the future energy market. Our study’s findings show that AI is becoming a key enabler of a complex, new and data-related energy industry, providing a key magic tool to increase operational performance and efficiency in an increasingly cut-throat environment. As a result, the energy industry, utilities, power system operators, and independent power producers may need to focus more on AI technologies if they want meaningful results to remain competitive. New competitors, new business strategies, and a more active approach to customers would require informed and flexible regulatory engagement with the associated complexities of customer safety, privacy, and information security. Given the pace of development in information technology, AI and data analysis, regulatory approvals for new services and products in the new Era of digital energy markets can be enforced as quickly and efficiently as possible.
125834
289

Creator

Ahmad, Tanveer
Zhang, Dongdong
Huang, Chao
Zhang, Hongcai
Dai, Ningyi
Song, Yonghua
Chen, Huanxin

Publisher

Journal of Cleaner Production

Date

2021

Type

journalArticle

Identifier

0959-6526
10.1016/j.jclepro.2021.125834

Citation

Ahmad, Tanveer et al., “Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/26784.

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