Seminar: Data Science & Optimization – REopt Lite
November 13, 2:00pm - 3:00pm
Online via Zoom
Join the Hawaii Data Science Institute for another Data Science Friday Seminar by National Renewable Energy Labratory's Sakshi Mishra.
Smart grids and IoT technologies are transforming today’s grid in unprecedented ways. The explosion of ubiquitous computing and connectivity throughout the grid is providing tremendous opportunities for enhancing operational energy efficiency from generation to end-use. One of the key drivers of changing the state of the power grid is climate change – that has necessitated the expedited large-scale deployment of renewable energy generation technologies all over the world. Effective utilization of this data through the use of optimization and machine learning algorithms offers the solutions for overcoming the challenges posed by the increased renewable penetration on the grid. In this talk, an energy researcher from National Renewable Energy Laboratory (NREL) will be discussing the relevance of optimization in the data science field and present the formulation and architecture behind REopt Lite – a behind-the-meter distributed energy optimization model from NREL.
Sakshi is an energy researcher, power systems engineer, and machine learning practitioner. She is interested in working on enabling large-scale clean energy integration into the smart grid, by utilizing Artificial Intelligence based methodologies. At NREL, she is working as development lead for the REopt Lite API and its open-source effort. Sakshi is also part of NREL’s Intelligent Campus project where she leads predictive analytics research and development using Machine Learning. Before joining NREL, Sakshi was Transmission Planning Engineer at American Electric Power where she served as an industry advisor for PSERC projects. She holds a Professional Engineer License in the state of California. She has a master’s from Carnegie Mellon University in Energy Science Technology and Policy and received her bachelor’s degree in Electrical and Electronics Engineering from VIT University, India. She had conducted her bachelor’s thesis as full-ride scholar at Deakin University, Australia.
Hawai'i Data Science Institute, University of Hawaii