Today's Edition
ABU DHABI (ALETIHAD)
TRENDS Research & Advisory has issued a new study titled “AI in Energy Transformation: Driving Efficiency and Sustainability in the Modern Energy Sector,” examining the pivotal role that AI plays in accelerating energy transition and enhancing sustainability in the global energy industry.
Authored by researcher Najla Al-Madfa in English, the study suggests that AI represents a transformative force in the energy sector because of its ability to analyse complex data, improve systems, and drive innovation. It explains that AI is a key solution to challenges related to integrating renewable energy sources, enhancing the efficiency of smart grids, and extending the lifespan of grid components through predictive maintenance.
The research study focuses on several key applications of AI in the energy sector, including smart grid management by using machine learning techniques to improve load forecasting, effective integration of renewable energy sources, and optimisation of renewable energy production to enhance the accuracy of forecasting solar and wind energy output in order to improve planning and reduce reliance on traditional energy sources.
Furthermore, the study explores advancements in energy storage technologies, such as improving battery performance with AI-powered systems like Tesla Powerwall.
The study also discusses the challenges facing AI applications in the energy sector, notably data gaps, the complexity of data generated from renewable energy sources and their effect on the accuracy of analyses. It also points to ethical concerns, the impact of automation on job opportunities, and the need for regulations to ensure equity in energy distribution.
It also identifies regulatory challenges, such as legal frameworks' development that suit the changing dynamics of energy markets.
The research study recommends adopting an integrated approach to developing AI infrastructure, strengthening intersectoral partnerships, and developing regulatory policies that balance innovation with sustainability.
It concludes that AI presents a golden opportunity to transform the energy sector into a more sustainable and resilient model. It also underlines the importance of addressing technical and ethical challenges to make the most of this technology.
