Distributed transaction optimization model of multi-integrated energy systems based on nash negotiation

This publication has 38 references indexed in Scilit:

• Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response
  Applied Energy, 2023
• Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach
  Applied Energy, 2022
• Two-stage distributionally robust optimization model of integrated energy system group considering energy sharing and carbon transfer
  Applied Energy, 2022
• Balanced broad learning prediction model for carbon emissions of integrated energy systems considering distributed ground source heat pump heat storage systems and carbon capture & storage
  Applied Energy, 2022
• A Tri-dimensional Equilibrium-based stochastic optimal dispatching model for a novel virtual power plant incorporating carbon Capture, Power-to-Gas and electric vehicle aggregator
  Applied Energy, 2022
• Hybrid multi-agent emotional deep Q network for generation control of multi-area integrated energy systems
  Applied Energy, 2022
• Distributionally robust dispatching of multi-community integrated energy system considering energy sharing and profit allocation
  Applied Energy, 2022
• Decentralized coordinated operation model of VPP and P2H systems based on stochastic-bargaining game considering multiple uncertainties and carbon cost
  Applied Energy, 2022
• Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game
  Applied Energy, 2022
• Wasserstein and multivariate linear affine based distributionally robust optimization for CCHP-P2G scheduling considering multiple uncertainties
  Applied Energy, 2022