10/01/2024, 09:38 PM UTC
卡塞尔大学与弗劳恩霍夫IEE研究人员利用人工智能优化电网University of Kassel and Fraunhofer IEE Researchers Optimize Power Grids with AI
➀ 卡塞尔大学与弗劳恩霍夫IEE的研究人员正在开展一项利用人工智能优化电网的项目。该项目旨在改善输电网的运行，并为电力供应的稳定性做出贡献。➁ 德国可再生能源比例的增加给电网运营商带来了新的挑战。研究重点在于平衡变量，以确保持续和可靠的供应。➂ 该项目使用图神经网络（GNN）和深度强化学习（DRL）来优化电网控制和开发能够识别网络状态的自主学习代理。➀ Researchers from the University of Kassel and Fraunhofer IEE are working on a project to optimize power grids using AI. The project aims to improve the operation of transmission grids and contribute to the stability of power supply. ➁ The increasing share of renewable energy in Germany presents new challenges to power grid operators. The research focuses on balancing variables to ensure a constant and reliable supply. ➂ The project uses Graph Neural Networks (GNNs) and Deep Reinforcement Learning (DRL) to optimize grid control and develop self-learning agents for identifying network states.
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