Researchers Discuss the Use of AI in Energy Systems

In a paper recently published in the open-access journal Energies, researchers reviewed and summarized published articles to determine the most promising approach for artificial intelligence (AI) applications in environmental and energy engineering systems. AI is a computer science tool that works on creating intelligent devices, machines, and systems that carry out operations akin to human decision-making and learning. It can comprehend external data and learn from it, and adapt to its learning with practice. Combining AI with the internet of things (IoT) technologies could be another promising approach as this combination can harvest large amounts of data, and the AI can study data patterns to enable task automation for several business benefits. AI has been widely utilized in agriculture, focusing particularly on rice diseases, crop and pest management, product monitoring, and yield prediction. Medical and healthcare applications of AI include the understanding of diseases such as cancer as well as brain and heart disorders.