The Evolution of AI Applications in the Energy System Transition: A Bibliometric Analysis of Research Development, the Current State and Future Challenges

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1523 - 1523

Published: March 19, 2025

The transformation of energy markets is at a crossroads in the search for how they must evolve to become ecologically friendly systems and meet growing demand. Currently, methodologies based on bibliographic data analysis are supported by information communication technologies have necessary. More sophisticated processes being used systems, including new digitalization models, particularly driven artificial intelligence (AI) technology. In present review, 342 documents indexed Scopus been identified that promote synergies between AI transition (ET), considering time range from 1990 2024. methodology includes an evaluation keywords related areas ET. analyses extend review authorship, co-authorship, AI’s influence system subareas. integration resources, supply demand, which renewable sources play leading role end-customer level, now conceived as both producer consumer, intensively studied. results has experienced notable growth last five years will undoubtedly future achieving decarbonization goals. Among applications it enable be design up execution start-up power plants with control optimization. This study aims baseline allows researchers, legislators, government decision-makers compare their benefits, ambitions, strategies, novel formulating policies field. developments scope sector were explored relation domain parts chain. While these involve complex analysis, techniques provide powerful solutions designing managing high penetration. represents fundamental shift market design, enabling more efficient sustainable transitions. Future lines research could focus demand forecasting, dynamic adjustments distribution different generation sources, storage, usage

Language: Английский

Integrating AI, IoT, and Data Science for a Comprehensive Carbon Management System

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 219 - 246

Published: April 11, 2025

Climate change and environmental sustainability are critical global issues, necessitating new-age solutions for monitoring reducing carbon emissions. New technologies like AI, IoT, Data Science revolutionizing management by providing solutions. This paper presents the integration of these into an end-to-end Carbon Management System (CMS) enhanced real-time monitoring, predictive insights, decision-making effective footprint reduction. Traditional involves periodic surveys, without analysis data.

Language: Английский