Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality
Published in Patterns, 2022
As one of the biggest game changers in addressing climate change, the transition to a carbon-neutral electric grid poses significant challenges to conventional paradigms of modern grid planning and operation. Artificial intelligence (AI) has the potential to address the challenges posed by large decision-making scale and increased uncertainty, as many key decision-making mechanisms of grid planning and operation can be formulated as representative AI problems. However, AI needs to be tailored for power system applications in three layers of technology, market, and policy to meet the needs of safety criticality, time sensitivity, and interpretability.
Recommended citation: Xie, Le, Tong Huang, Xiangtian Zheng, Yan Liu, Mengdi Wang, Vijay Vittal, P. R. Kumar, Srinivas Shakkottai, and Yi Cui. "Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality." Patterns 3, no. 12 (2022): 100640. https://www.sciencedirect.com/science/article/pii/S2666389922002720