Data Science Day @ Columbia University has ended
Columbia University’s Data Science Institute Presents:

Authors/Collaborators are listed in alphabetical order.

Wednesday, April 6 • 2:00pm - 4:30pm
Personal Energy Footprinting [P18]

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Recent advancements in energy monitoring technologies have contributed hugely to developing smart and energy-efficient buildings. However, existing solutions do not provide enough granularity to generate sufficient information about the real-time effect of an occupant’s personal actions on the overall energy consumption of a building. Extending the functionality of currently existing indoor localization and building energy monitoring techniques, our platform tracks each individual’s energy consumption in a shared environment, thus providing the user with visibility into his or her real-time energy footprint. The system we have implemented facilitates accountability of energy usage in commercial buildings, while simultaneously utilizing that information to provide actionable feedback and historical understanding for the occupants as well as building managers, ensuring that they can act appropriately in a timely manner.

Demo/Poster Presenter
avatar for Richa Glenn Netto

Richa Glenn Netto

MS Student in Electrical Engineering, Columbia Engineering
Richa Netto received her B.E. degree in Computer Engineering from the University of Mumbai in May 2015, and is currently pursuing a Masters in Electrical Engineering from Columbia University. Her primary areas of interest include Embedded Systems Design and the application of the... Read More →
avatar for Rishikanth Chandrasekaran

Rishikanth Chandrasekaran

MS Student in Computer Engineering, Columbia Engineering
Rishikanth finished his Bachelors in Electrical and Electronics Engineering in India and is currently pursuing his Masters in Computer Engineering at Columbia University. He is currently part of the Intelligent and Connected Systems Laboratory at Columbia University as a researcher... Read More →

Demo/Poster Collaborator
avatar for Xiaofan (Fred) Jiang

Xiaofan (Fred) Jiang

Assistant Professor of Electrical Engineering, Columbia Engineering
Xiaofan (Fred) Jiang is an Assistant Professor in the Electrical Engineering Department at Columbia University. Fred received his B.Sc. (2004) and M.Sc. (2007) in Electrical Engineering and Computer Science, and his Ph.D. (2010) in Computer Science, all from UC Berkeley. Before... Read More →

Wednesday April 6, 2016 2:00pm - 4:30pm EDT
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (1)