Modeling and forecasting of Brazilian reservoir inflows via dynamic linear models
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2014-07
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Lima, LMM, E Popova and P Damien (2014). Modeling and forecasting of Brazilian reservoir inflows via dynamic linear models. International Journal of Forecasting, 30(3). pp. 464–476. 10.1016/j.ijforecast.2013.12.009 Retrieved from https://hdl.handle.net/10161/18145.
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Luana Marangon Lima
Dr. Luana Marangon Lima is an assistant professor of the practice for energy and environmental analytics at Duke University’s Nicholas School of the Environment. As faculty fellow at the Nicholas Institute for Energy, Environment & Sustainability, she works with faculty, staff, and students to enhance energy education offerings at Duke University.
She received her Ph.D. in operations research and industrial engineering from the Cockrell School of Engineering at University of Texas at Austin (2011). She holds a M.Sc. (2007) and B.Sc. (2005) in electrical engineering from Universidade Federal de Itajuba (Brazil).
Prior to joining Duke, she was an assistant professor in the electrical and energy systems department at Universidade Federal de Itajuba (Brazil). She also worked as a consultant for several years at MC&E.
Her research and teaching focus on optimization methods and data analytics applications to energy systems—more specifically, renewable energy integration, electricity markets, power generation planning and scheduling, and transmission and distribution grid regulation.
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