All Stories

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