By analyzing energy consumption and production data, AI can aid in optimizing energy utilization and minimizing waste. In this chart we see a worldwide perspective on renewable energy consumption (% of total final energy consumption).

This perspective offers a real-time view of the worldwide news on energy-related topics, providing us with a media perspective on the progress at the different fronts of SDG 7.

A SDG Live Report is what it is all about! Here, you can have a real-time perspective of the state of the world in regard to AI and sustainability, tracking some of the main issues to address in the near future.

 

AI has been instrumental in advancing Sustainable Development Goal 7 (SDG 7), which aims to ensure access to affordable, reliable, sustainable, and modern energy for all. Between 2015 and 2023, there have been 127,849 scientific publications examining the impact of AI on energy systems. These studies underscore AI’s potential to optimize energy production, enhance grid management, and improve energy efficiency. AI algorithms can analyze large datasets to predict energy demand, optimize the integration of renewable energy sources, and reduce energy wastage. Media exposure, with 24,425 news articles, reflects a growing public interest in the role of AI in transforming energy systems and supporting sustainable energy solutions. Furthermore, the development of 460 AI policies targeting SDG 7 highlights a commitment from policymakers to harness AI technologies to promote energy sustainability, focusing on issues such as smart grids, energy storage, and renewable energy integration.

Looking ahead, the next 5 to 10 years are likely to witness significant advancements in the application of AI to energy systems. AI-driven smart grids will become more prevalent, allowing for better management of electricity distribution and reducing energy losses. These smart grids will enable real-time monitoring and dynamic response to fluctuations in energy demand and supply, leading to more efficient and reliable energy systems. AI will also play a crucial role in advancing renewable energy technologies, optimizing the placement and operation of solar panels and wind turbines to maximize energy production. Additionally, AI can help in the development of advanced energy storage solutions, ensuring a stable supply of renewable energy even when production is variable. As AI technologies continue to evolve, collaboration between governments, energy providers, and technology companies will be essential to ensure that AI-driven innovations contribute to the achievement of SDG 7, promoting sustainable and equitable access to energy for all.

Here is your window to the current global status of the world’s energy efficiency. This dashboard is configurable and can be integrated into other systems to bring actionable technology into the systems of research institutions, governments and enterprises that are willing to make a difference.

 

Avoiding data bias in AI systems is crucial to ensure fair, accurate, and equitable outcomes, preventing the reinforcement of existing inequalities and enabling more trustworthy and inclusive technologies. Here you will see a dashboard analysing the bias related to the data ingested in this observatory for SDG 7.