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 Dan Kammen argues encompasses the utility-scale system, mini-grids, and off-grid energy systems. In this talk he 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. Kammen will also highlight key opportunities for data science for sustainable energy options in California, China, and Africa.
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.
Speaker: Dan Kammen
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