Big picture resource showing how machine learning and artificial intelligence can address power grid resilience inform solutions and decision making Advancing the Resilience and Sustainability of the Power Grid covers new foundational advances in resilient operation and management of power grids, presenting recent advancements within key phases of resilience engineering, such as data science, artificial intelligence (AI), physics-based computational modeling, and recent grid technologies, to name a few, and covering key solutions for the pressing challenges facing power grids to enhance its resilience, including hardening the power grid infrastructure, developing and integrating low carbon renewable energy resources, and reliable monitoring, controlling, and operation of power grid infrastructure. The authors address key points of substantial risk, such as climatic extremes that are increasing in frequency and intensity under climate change, compounding effects of extreme weather and climate events as well as chronic aging and under-investments, and the intermittency of the renewable generation technology. With contributions from experts in the field, sample topics covered in Advancing the Resilience and Sustainability of the Power Grid include: Grid preparation, covering short-term forecasting of extreme weather and impacts on electricity demand, and strategic pre-allocation of response/recovery resources Ameliorating impacts and grid recovery and covering rapid damage assessment of the grid using remote sensing and AI Risk mitigation and grid transformation, covering policy reforms, microgrids and distributed generation, and long-term impacts of climate change on the grid Resilience analytics and solutions in developing countries, covering mapping grid infrastructure using remote sensing and resilience assessment in data poor environments A comprehensive text that addresses the complex challenges that power grids face, Advancing the Resilience and Sustainability of the Power Grid is an essential resource for policymakers in making informed decisions, researchers in academia, non-academic research institutions and the industry, and electric generation, transmission, and distribution utility owners and operators.