All Stories

  1. Online Smoothed Demand Management
  2. Multi-objective Evolutionary Learning for Near Pareto-Optimal Optimization of Solar Deployment
  3. Carbon- and Precedence-Aware Scheduling for Data Processing Clusters
  4. Local Edge Dynamics and Opinion Polarization
  5. Dynamic Incentive Allocation for City-Scale Deep Decarbonization
  6. Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
  7. Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
  8. Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
  9. Examining The Adoption of Electromobility Concepts Across Social Contexts For Energy Transition
  10. Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
  11. The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
  12. The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
  13. Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
  14. LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand
  15. The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
  16. Equitable Network-Aware Decarbonization of Residential Heating at City Scale
  17. Local Edge Dynamics and Opinion Polarization
  18. FlowSense