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: "cost minimizing online algorithms for energy storage management with worst case guarantee"
  Abstract: The fluctuations of electricity prices in demand response schemes and intermittency of renewable energy supplies necessitate the adoption of energy storage in microgrids. However, it is challenging to design effective real-time energy storage management strategies that can deliver assured optimality, without being hampered by the uncertainty of volatile electricity prices and renewable energy supplies. This paper presents a simple effective online algorithm for the charging and discharging decisions of energy storage that minimizes the electricity cost in the presence of electricity price fluctuations and renewable energy supplies, without relying on the future information of prices, demands, or renewable energy supplies. The proposed algorithm is supported by a near-best worst-case guarantee (i.e., competitive ratio), as compared with the offline optimal decisions based on full future information. Furthermore, the algorithm can be adapted to take advantage of limited future information, if available. By simulations on real-world data, it is observed that the proposed algorithms can achieve satisfactory outcomes in practice.

Connected through hyperedge HE-1 (induced by source paper "online inventory management with application to energy procurement in data centers"):
  with members:
    - "introduction to online convex optimization"
    - "optimal posted prices for online cloud resource allocation"
    - "risk sensitive learning and pricing for demand response"
    - "peak aware online economic dispatching for microgrids"
    - "reducing electricity demand charge for data centers with partial execution"
    - "dynamic provisioning in next generation data centers with on site power production"
    - "optimal power cost management using stored energy in data centers"

Connected through hyperedge HE-2 (induced by source paper "online algorithm for demand response with inelastic demands and apparent power constraint"):
  with members:
    - "optimal power flow with inelastic demands for demand response in radial distribution networks"
    - "truthful mechanisms for combinatorial allocation of electric power in alternating current electric systems for smart grid"
    - "online algorithms for information aggregation from distributed and correlated sources"
    - "truthful mechanisms for combinatorial ac electric power allocation"
    - "complex demand knapsack problems and incentives in ac power systems"
    - "online energy generation scheduling for microgrids with intermittent energy sources and co generation"

Connected through hyperedge HE-3 (induced by source paper "online algorithms for information aggregation from distributed and correlated sources"):
  with members:
    - "online energy generation scheduling for microgrids with intermittent energy sources and co generation"
    - "rent lease or buy randomized algorithms for multislope ski rental"

Connected through hyperedge HE-4 (induced by source paper "peak aware online economic dispatching for microgrids"):
  with members:
    - "to reserve or not to reserve optimal online multi instance acquisition in iaas clouds"
    - "adaptive electricity scheduling in microgrids"
    - "reducing electricity demand charge for data centers with partial execution"
    - "online energy generation scheduling for microgrids with intermittent energy sources and co generation"

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.DS(Data Structures and Algorithms)