March 2020
Machine learning has been extensively used in many application areas, where big data imposes a variety of challenges. How can we learn a predictive model that is more robust with faster convergence speed?
Dual Topic Seminar: Catching Falling Conductors in Midair – Detecting and Tripping Broken Distribution Circuit Conductors at Protection Speeds and Nontraditional Approach to Generator Measurements and Model Validation to be presented by Ceeman Vellaithurai and Kamal Garg, Schweitzer Engineering Lab – Pullman
The volume of available geospatial data increased tremendously. Making sense of the geospatial properties hidden in the data may benefit many disciplines such as climate change analysis, urban planning, and transportation engineering.
Three Minute Thesis is a research communication competition challenging Ph.D. students to present a compelling oration on their thesis and its significance in three minutes or less to a non-technical audience.
Many optimization problems relevant to the design and operation of electric power systems are inherently nonlinear due to the AC power flow equations that model the relationships among voltages and power flows in power grids. Daniel Molzahn, Assistant Professor at the Georgia Institute of Technology, will present this webinar.
Join Dean Mary Rezac, Voiland College of Engineering and Architecture, for donuts and conversation.
Dr. Xue Chen is broadly interested in randomized algorithms and the use of randomness in computation.
The recent proliferation of Internet of Things (IoT) has given rise to crowd sensing, a newly-emerged sensing paradigm where the collection of sensory data is outsourced to a crowd of users participating in the sensing task.
Market Participation of Energy Storage and DER Aggregators: Energy Arbitrage, Retail Market Design, and Electricity Price Forecasting by Meng Wu, Arizona State University