论文标题
AI时代的能源系统数字化：一种三层碳中立的方法
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality
论文作者
论文摘要
向碳中性电力的过渡是解决气候变化的最大游戏规则改变者之一，因为它解决了从发射器的两个最大部门消除碳排放的双重挑战：电力和运输。向碳中性电网的过渡对现代电网计划和操作的常规范式构成了重大挑战。大部分挑战来自于决策的规模以及与能源供应和需求相关的不确定性。人工智能（AI）可能会对加速碳中性过渡的速度和规模产生变革性的影响，因为电网中的许多决策过程都可以作为经典，尽管具有挑战性的机器学习任务。我们指出，为了扩大AI对电能系统的碳中性过渡的影响，应以三层技术，市场和政策量身定制最初针对其他应用的AI算法。
The transition towards carbon-neutral electricity is one of the biggest game changers in addressing climate change since it addresses the dual challenges of removing carbon emissions from the two largest sectors of emitters: electricity and transportation. The transition to a carbon-neutral electric grid poses significant challenges to conventional paradigms of modern grid planning and operation. Much of the challenge arises from the scale of the decision making and the uncertainty associated with the energy supply and demand. Artificial Intelligence (AI) could potentially have a transformative impact on accelerating the speed and scale of carbon-neutral transition, as many decision making processes in the power grid can be cast as classic, though challenging, machine learning tasks. We point out that to amplify AI's impact on carbon-neutral transition of the electric energy systems, the AI algorithms originally developed for other applications should be tailored in three layers of technology, markets, and policy.
