Technical Program

SMI-L.3: Learning in Energy Systems

Symposium: Information Processing, Learning and Optimization for Smart Energy Infrastructures
Session Type: Lecture
Time: Thursday, November 29, 11:00 - 12:30
Location: Magic Kingdom Ballroom 4
Session Chair: Yue Zhao, Stony Brook University
 
11:00 - 11:18
SMI-L.3.1: REAL-TIME POWER SYSTEM STATE ESTIMATION VIA DEEP UNROLLED NEURAL NETWORKS
         Liang Zhang; University of Minnesota
         Gang Wang; University of Minnesota
         Georgios B. Giannakis; University of Minnesota
 
11:18 - 11:36
SMI-L.3.2: COINCIDENT PEAK PREDICTION USING A FEED-FORWARD NEURAL NETWORK
         Chase Dowling; University of Washington
         Daniel Kirschen; University of Washington
         Baosen Zhang; University of Washington
 
11:36 - 11:54
SMI-L.3.3: LEARNING TO DYNAMICALLY PRICE ELECTRICITY DEMAND BASED ON MULTI-ARMED BANDITS
         Ahmadreza Moradipari; University of California, Santa Barbara
         Cody Silva; University of California, Santa Barbara
         Mahnoosh Alizadeh; University of California, Santa Barbara
 
11:54 - 12:12
SMI-L.3.4: JOINT CHANCE CONSTRAINTS REDUCTION THROUGH LEARNING IN ACTIVE DISTRIBUTION NETWORKS
         Kyri Baker; University of Colorado Boulder
         Andrey Bernstein; National Renewable Energy Laboratory
 
12:12 - 12:30
SMI-L.3.5: REAL-TIME POWER OUTAGE DETECTION SYSTEM USING SOCIAL SENSING AND NEURAL NETWORKS
         Sifat Shahriar Khan; The University of Akron
         Jin Wei; The University of Akron