电力行业如何通过人工智能减少碳排放量?

来源: 学术头条

发布日期: 2020-11-16

能源创新网络与Climate Change AI合作举办线上研讨会,探讨电力行业如何通过人工智能减少碳排放。活动邀请了工业界和学术界的专家,分享他们在这一领域的见解和建议。

电力行业是如何通过人工智能减少碳排放量?能源创新网络(Energy Innovation Network)携手Climate Change AI将共同举办一个线上Panel Discussion进行深度探讨。

此次活动特别邀请了5位来自工业界和学术界的嘉宾:AutoGrid的人工智能的产品lead,Buzz Solution的创始人,Coloroda大学的助理教授,以及法国电网公司的首席人工智能科学家。诚挚欢迎大家来参加!

本次活动时间:太平洋时间11月23日,9:00-10:30am(北京时间11月24日,1:00-2:30am)。免费注册链接:https://ein1123event.eventbrite.com。

About this Event

How can machine learning help decarbonize the power sector? Join us for a conversation with leaders from academia, startups, and the power industry, who will share insights from their own work in this space, as well as advice on how to make the leap from innovation to deployment. This webinar is co-hosted by Climate Change AI and the Energy Innovation Network. Each speaker will give a 15-minute talk, followed by a panel discussion and Q&A.

SPEAKERS

Dr. Kyri Baker received her B.S., M.S., and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2009, 2010, and 2014, respectively. From 2015 to 2017, she worked at the National Renewable Energy Laboratory. Since Fall 2017, she has been an Assistant Professor at the University of Colorado Boulder. Dr. Baker is a Fellow of the Renewable and Sustainable Energy Institute (RASEI). Her research focuses on renewable energy integration by changing the way the electric power grid operates.

Eric Hsieh is the Head of Product for AI/ML Applications for AutoGrid, an energy industry software company. Previously working as a Sr. Machine Learning Engineer for AutoGrid, he built and deployed a Predictive Maintenance model at a Fortune 500 energy company that catches distribution outages with IoT data in realtime. Now, as the Head of Product, Eric aims to make the energy grid more efficient by productizing AI applications.

Antoine Marot is the lead AI scientist at RTE, the French transmission system operator. He holds a double master’s degree in Engineering from Ecole Centrale Paris and Stanford University. After interning at Tesla Motors, he joined RTE R&D on the Apogee project 6 years ago, with the long-term goal of developing a personal assistant for control room operators with AI.

Kaitlyn Albertoli & Vik Chaudhry are the two co-founders of Buzz Solutions, met during their time at Stanford University and created Buzz Solutions from a launchpad course there in the spring of 2017. Jointly, the two bring a well-rounded and complimentary skillset to the table.

MODERATORS

Priya Donti is a Ph.D. student in Computer Science and Public Policy at Carnegie Mellon University, and a U.S. Department of Energy Computational Science Graduate Fellow. She is also a co-founder and chair of Climate Change AI, an initiative to catalyze impactful work in climate change and machine learning.

Na Yu is a Data & Analytics Consultant at Slalom Consulting. She has 4 years’ experience in consulting in various industries, such as energy and healthcare. She is also currently the Vice President of Energy Innovation Network, a non-profit organization focusing on advancing sustainability in fields of technology, business, and policy, based in Silicon Valley.

Event hosts

Energy Innovation Network (EIN) is headquartered in Silicon Valley, where the high-tech industry and the energy industry are developing rapidly together. Our vision is to strengthen the exchange of technology development, research, business, and policy in low carbon energy, environment, and transportation to advance a more sustainable future.

Climate Change AI is a volunteer initiative to catalyze impactful work at the intersection of climate change and machine learning by providing education and infrastructure, building a community, and advancing discourse.

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