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Articles by Burcu Akinci

Topology-Informed Method for Constructing Instance-Level Mappings between Building Information Models and Building Energy Models

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By Zhichen Wang, Mario Bergés, Burcu Akinci
| ascelibrary.org
Get full access to this article View all available purchase options and get full access to this article. Data Availability Statement Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
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Empowering the Energy Workforce for an AI-Driven Future

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By Kelly Saavedra, Burcu Akinci
| cmu.edu
As artificial intelligence continues to make its way into the energy sector, it brings with it a wave of innovation and efficiency. AI is optimizing grid operations by predicting and preventing blackouts, enhancing energy efficiency by analyzing data to reduce waste, and seamlessly integrating renewable energy sources like solar and wind. It is improving system safety and reliability through predictive maintenance and helping to protect the environment by reducing reliance on fossil fuels.
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Designing A National Institute For AI In Construction

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By Dan Carroll, Carnegie Mellon, Pingbo Tang, Burcu Akinci
| cmu.edu
April 23, 2021 Carnegie Mellon University's Pingbo Tang and Burcu Akinci are part of a team that is designing the future National Institute for Artificial Intelligence (AI) in Construction, in coordination with researchers from The University of Illinois at Urbana-Champaign and over 40 industry partners.
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