human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "real time welfare maximizing regulation allocation in dynamic aggregator evs system"
  Abstract: The concept of vehicle-to-grid (V2G) has gained recent interest as more and more electric vehicles (EVs) are put to use. In this paper, we consider a dynamic aggregator-EVs system, where an aggregator centrally coordinates a large number of dynamic EVs to provide regulation service. We propose a Welfare-Maximizing Regulation Allocation (WMRA) algorithm for the aggregator to fairly allocate the regulation amount among the EVs. Compared with previous works, WMRA accommodates a wide spectrum of vital system characteristics, including dynamics of EV, limited EV battery size, EV battery degradation cost, and the cost of using external energy sources for the aggregator. The algorithm operates in real time and does not require any prior knowledge of the statistical information of the system. Theoretically, we demonstrate that WMRA is away from the optimum by O(1/V), where V is a controlling parameter depending on EVs' battery size. In addition, our simulation results indicate that WMRA can substantially outperform a suboptimal greedy algorithm.

Connected through hyperedge HE-1 (induced by source paper "real time residential side joint energy storage management and load scheduling with renewable integration"):
  with members:
    - "distributed real time power balancing in renewable integrated power grids with storage and flexible loads"
    - "adaptive electricity scheduling in microgrids"
    - "real time power balancing via decentralized coordinated home energy scheduling"
    - "optimal power cost management using stored energy in data centers"

Connected through hyperedge HE-2 (induced by source paper "distributed real time power balancing in renewable integrated power grids with storage and flexible loads"):
  with members:
    - "adaptive electricity scheduling in microgrids"
    - "real time power balancing via decentralized coordinated home energy scheduling"
    - "online alternating direction method"
    - "online energy generation scheduling for microgrids with intermittent energy sources and co generation"
    - "distributed storage for intermittent energy sources control design and performance limits"

Connected through hyperedge HE-3 (induced by source paper "charging electric vehicles in the smart city a survey of economy driven approaches"):
  with members:
    - "charging games in networks of electrical vehicles"
    - "smart grid communications overview of research challenges solutions and standardization activities"

Connected through hyperedge HE-4 (induced by source paper "distributed control for charging multiple electric vehicles with overload limitation"):
  with members:
    - "cost minimization of charging stations with photovoltaics an approach with ev classification"

Connected through hyperedge HE-5 (induced by source paper "competition between regulation providing and fixed power charging stations for electric vehicles"):
  with members:
    - "charging electric vehicles in the smart city a survey of economy driven approaches"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.SY(Systems and Control)