All Stories

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