Workshop: Forging Connections between Machine Learning, Data Science, and Power Systems Research. To be held at the National Science Foundation, March 5-6, 2020 in Alexandria, VA.

概述：本提案寻求美国国家科学基金会（NSF）的支持，以促进组织一个题为“在机器学习、数据科学和电力系统研究之间建立联系”的研讨会。研讨会将研究机器学习和数据科学领域的理论和算法进展，这些领域有可能解决电力系统建模、分析、运营和控制方面的当代挑战。它将通过吸引来自电力系统、机器学习、数据科学以及相关的赋能和协同应用领域（如机器人和交通网络）的主要研究人员的参与来实现这一目标。知识价值：在数据驱动的计算和控制的广泛领域中，当代的进步在帮助电力系统向真正可持续的、有弹性的和分布式的基础设施过渡方面具有巨大的潜力，这些基础设施可以适应大规模的新一代、配电和终端使用技术。考虑到这一点，拟议的研讨会将侧重于梳理与电力系统研究问题相关的机器学习和数据科学领域的基础理论和方法。通过广泛的日程安排，包括主题演讲，小组讨论和分组会议，来自上述领域的领先专家将获得一个独特和无与伦比的机会来交流技术思想，这将产生新的理论，方法和算法，以实现下一代电力系统。更广泛的影响：拟议的研讨会将从各种途径产生更广泛的影响。首先，它将为机器学习和数据科学领域的研究人员提供一个独特的机会，让他们与电力系统的领先专家接触，找到参与大容量电力系统研发的共同点：这是支撑和管理社会进步的关键基础设施。研讨会还将提供一个独特的舞台来展示和分享NSF资助的前沿研究成果。研究人员将有一个无与伦比的机会来建立合作的学术和机构伙伴关系，超越各自技术领域的界限。最后，将鼓励来自少数民族和代表性不足群体的研究人员以及早期职业研究人员的参与。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Overview: This proposal seeks support from the National Science Foundation (NSF) to facilitate the organization of a workshop titled: "Forging Connections between Machine Learning, Data Science, and Power Systems Research." The workshop will examine theoretical and algorithmic advances from the areas of machine learning and data science that have the potential to address contemporary challenges in modeling, analysis, operations, and control of power systems. It will seek to do so by engaging the participation of leading researchers from power systems, machine learning, and data science as well as related enabling and synergistic application areas such as robotics and transportation networks. Intellectual Merit: Contemporary advances in the broad areas of data-driven computing and control hold tremendous potential in aiding the transition of the power system to a truly sustainable, resilient, and distributed infrastructure that can accommodate new generation, distribution, and end-use technology at scale. With this in mind, the proposed workshop will focus on teasing out foundational theories and methods from the areas of machine learning and data science that are relevant to research problems in power systems. Through a broad-based schedule that includes keynote talks, panel discussions, and breakout sessions, leading experts from the aforementioned areas will get a unique and unparalleled opportunity to exchange technical ideas that will result in new theories, methods, and algorithms tailored to realizing the next generation power system. Broader Impacts: Broader impacts of the proposed workshop will follow from a variety of avenues. First, it will serve as a unique opportunity for researchers from the areas of machine learning and data science to engage with leading experts in power systems to find common ground for engagement in research and development for the bulk power system: a critical infrastructure that underpins and governs societal progress. The workshop will also provide a unique stage to showcase and share outcomes from cutting-edge NSF funded research. Researchers will have an unparalleled opportunity to build collaborative scholarly and institutional partnerships that transcend boundaries imposed by their respective technical areas. Finally, participation of researchers from minorities and underrepresented groups, as well as early-career researchers will be encouraged.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.