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Workshop
Decision-aware uncertainty-calibrated deep learning for robust energy system operation
Christopher Yeh · Nicolas Christianson · Steven Low · Adam Wierman · Yisong Yue
Workshop
Emission-Constrained Optimization of Gas Systems with Input-Convex Neural Networks
Vladimir Dvorkin · Samuel Chevalier · Spyros Chatzivasileiadis
Workshop
MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids
Nicolas Cuadrado · Roberto Alejandro Gutierrez Guillen · Yongli Zhu · Martin Takáč
Workshop
CityLearn Workshop
Kingsley Nweye · Zoltan Nagy
Workshop
Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models
Johannes Getzner · Bertrand Charpentier · Stephan Günnemann
Workshop
XAI for transparent wind turbine power curve models
Simon Letzgus
Workshop
Distributed Reinforcement Learning for DC Open Energy Systems
Qiong Huang · Kenji Doya
Workshop
Thu 8:57 Spotlight Session 3: "Emission-Constrained Optimization of Gas Systems with Input-Convex Neural Networks"
Vladimir Dvorkin · Samuel Chevalier · Spyros Chatzivasileiadis
Workshop
Data-driven mean-variability optimization of PV portfolios with automatic differentiation
Matthias Zech · Lueder von Bremen
Workshop
Global-Local Policy Search and Its Application in Grid-Interactive Building Control
Xiangyu Zhang · Yue Chen · Andrey Bernstein
Workshop
Estimating Residential Solar Potential using Aerial Data
Ross Goroshin · Carl Elkin
Workshop
Uncovering the Spatial and Temporal Variability of Wind Resources in Europe: A Web-Based Data-Mining Tool
Alban Puech · Jesse Read