日期:2022/09/03 IAE
能源信息關係已成為旨在使能源系統脫碳、啟用和運營“智能電網”的關鍵工具和研究領域，我將認為這包括公用事業規模系統、微型電網和離網能源系統。在本次演講中，我們將回顧一系列理論模型和實用工具，其中數據科學、機器學習和人機界面已經啟動或實現了清潔能源和能源正義（能源獲取和社會進步的能源選擇），這是不可能的之前。我還將重點介紹加利福尼亞、中國和非洲的可持續能源選擇數據科學的關鍵機遇。
柏克來數據科學傑出講座由伯克利數據科學研究所 (BIDS) 和伯克利數據科學部共同主辦，伯克利大學的教職員工進行了富有遠見的研究，說明了正在進行的數據革命的特徵。本系列講座旨在讓我們多元化的校園社區參與進來，並豐富同事之間的積極聯繫。歡迎並鼓勵所有校園社區成員參加。下午 3:30 抵達，在正式演講前享用茶點和討論。
The energy-information nexus has become a key tool and research area in efforts aimed at decarbonizing energy systems, enabling and operating the 'smart grid', which I will argue encompasses the utility-scale system, mini-grids, and off-grid energy systems. In this talk we will review a range of theoretical models and practical tools where data science, machine learning, and human-machine interfaces have launched or enabled clean energy and energy justice (energy access and socially progressive energy choices) that would not have been possible previously. I will also highlight key opportunities for data science for sustainable energy options in California, China, and Africa.
丹尼爾·卡門
能源和資源小組教授兼主席，高盛公共政策學院環境政策中心主任，可再生能源和適當能源實驗室 (RAEL) 創始主任，BIDS 學院附屬機構
Daniel Kammen 是加州大學柏克萊分校能源資源小組的教授兼主席，高盛公共政策學院教授，環境政策中心主任，核工程系教授。他是可再生能源和適當能源實驗室 (RAEL) 的創始主任。他是能源系統以及氣候解決方案背後的科學和政策方面的專家。他擁有康奈爾大學物理學學士學位，以及哈佛大學物理學碩士和博士學位。他是美國科學促進會 (AAAS) 的會員，並曾在多個國家科學院、環境保護署和能源部委員會和顧問小組任職。自 1999 年以來，Kammen 一直擔任政府間氣候變化專門委員會各種報告的撰稿人或協調主要作者，並分享了 IPCC 的 2007 年諾貝爾和平獎。
Dr.Daniel Kammen
Professor and Chair, Energy and Resources Group, Director, Center for Environmental Policy, Goldman School of Public Policy, Founding Director, Renewable and Appropriate Energy Laboratory (RAEL), BIDS Faculty Affiliate
Daniel Kammen is professor and chair of the Energy Resources Group at UC Berkeley, a professor in Goldman School of Public Policy, where he directs the Center for Environmental Policy, and a professor in the department of Nuclear Engineering. He is the founding director of the Renewable and Appropriate Energy Laboratory (RAEL). He is an expert on energy systems and the science and policy behind climate solutions. He has a BA in Physics from Cornell University, and Masters and PhD degrees in Physics from Harvard. He is a Fellow of the American Association for the Advancement of Science (AAAS) and has served on numerous National Academy of Sciences, Environmental Protection Agency, and Department of Energy committees and advisory panels. Kammen has served as a contributing or coordinating lead author on various reports of the Intergovernmental Panel on Climate Change since 1999, and shared the IPCC's 2007 Nobel Peace Prize.
The Berkeley Distinguished Lectures in Data Science, co-hosted by the Berkeley Institute for Data Science (BIDS) and the Berkeley Division of Data Sciences, features Berkeley faculty doing visionary research that illustrates the character of the ongoing data revolution. This lecture series is offered to engage our diverse campus community and enrich active connections among colleagues. All campus community members are welcome and encouraged to attend. Arrive at 3:30 PM for light refreshments and discussion prior to the formal presentation.