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: "prioritizing consumers in smart grid a game theoretic approach"
  Abstract: This paper proposes an energy management technique for a consumer-to-grid system in smart grid. The benefit to consumers is made the primary concern to encourage consumers to participate voluntarily in energy trading with the central power station (CPS) in situations of energy deficiency. A novel system model motivating energy trading under the goal of social optimality is proposed. A single-leader multiple-follower Stackelberg game is then studied to model the interactions between the CPS and a number of energy consumers (ECs), and to find optimal distributed solutions for the optimization problem based on the system model. The CPS is considered as a leader seeking to minimize its total cost of buying energy from the ECs, and the ECs are the followers who decide on how much energy they will sell to the CPS for maximizing their utilities. It is shown that the game, which can be implemented distributedly, possesses a socially optimal solution, in which the sum of the benefits to all consumers is maximized, as the total cost to the CPS is minimized. Numerical analysis confirms the effectiveness of the game.

Connected through hyperedge HE-1 (induced by source paper "peer to peer trading in electricity networks an overview"):
  with members:
    - "a motivational game theoretic approach for peer to peer energy trading in the smart grid"
    - "energy crowdsourcing and peer to peer energy trading in blockchain enabled smart grids"
    - "blockchain technologies for smart energy systems fundamentals challenges and solutions"
    - "decentralized p2p energy trading under network constraints in a low voltage network"
    - "peer to peer energy trading with sustainable user participation a game theoretic approach"
    - "price discrimination for energy trading in smart grid a game theoretic approach"
    - "three party energy management with distributed energy resources in smart grid"

Connected through hyperedge HE-2 (induced by source paper "privacy preserving and collusion resistant charging coordination schemes for smart grid"):
  with members:
    - "detecting sybil attacks using proofs of work and location in vanets"
    - "privacy preserving smart parking system using blockchain and private information retrieval"
    - "mimic learning to generate a shareable network intrusion detection model"
    - "blockchain based firmware update scheme tailored for autonomous vehicles"
    - "blockchain based charging coordination mechanism for smart grid energy storage units"

Connected through hyperedge HE-3 (induced by source paper "a motivational game theoretic approach for peer to peer energy trading in the smart grid"):
  with members:
    - "decentralized p2p energy trading under network constraints in a low voltage network"
    - "consensus based approach to peer to peer electricity markets with product differentiation"
    - "price discrimination for energy trading in smart grid a game theoretic approach"
    - "three party energy management with distributed energy resources in smart grid"

Connected through hyperedge HE-4 (induced by source paper "distributed bilevel energy allocation mechanism with grid constraints and hidden user information"):
  with members:
    - "an iterative on line auction mechanism for aggregated demand side participation"
    - "a day ahead market energy auction for distribution system operation"
    - "distribution market clearing and settlement"
    - "a game theoretic approach to energy trading in the smart grid"

Connected through hyperedge HE-5 (induced by source paper "blockchain based transactive energy systems for voltage regulation"):
  with members:
    - "scalable and privacy preserving design of on off chain smart contracts"
    - "distributed proportional fairness control in microgrids via blockchain smart contracts"
    - "blockbench a framework for analyzing private blockchains"

Connected through hyperedge HE-6 (induced by source paper "distribution lmp based transactive day ahead market with variable renewable generation"):
  with members:
    - "distributed bilevel energy allocation mechanism with grid constraints and hidden user information"

Connected through hyperedge HE-7 (induced by source paper "peer to peer energy trading with sustainable user participation a game theoretic approach"):
  with members:
    - "managing price uncertainty in prosumer centric energy trading a prospect theoretic stackelberg game approach"
    - "customer engagement plans for peak load reduction in residential smart grids"
    - "energy storage sharing in smart grid a modified auction based approach"
    - "towards a consumer centric grid a behavioral perspective"
    - "price discrimination for energy trading in smart grid a game theoretic approach"
    - "cooperation and storage tradeoffs in power grids with renewable energy resources"
    - "three party energy management with distributed energy resources in smart grid"
    - "coalitional games with overlapping coalitions for interference management in small cell networks"

Connected through hyperedge HE-8 (induced by source paper "policy design for controlling set point temperature of acs in shared spaces of buildings"):
  with members:
    - "customer engagement plans for peak load reduction in residential smart grids"
    - "model predictive hvac control with online occupancy model"

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)