human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "joint privacy cost optimization in smart electricity metering systems"):
  Abstract: Joint privacy-cost optimization is studied for a smart grid consumer, whose electricity consumption is monitored in almost real time by the utility provider (UP). It is assumed that an energy storage device, e.g., an electrical battery, is available to the consumer, which can be utilized both to achieve privacy and to reduce the energy cost by modifying the electricity consumption. Privacy is measured via the mean squared distance between the smart meter readings and a target load profile, while time-of-use pricing is considered to compute the electricity cost. The consumer also has the possibility to sell electricity back to the UP to further improve the privacy-cost trade-off. Two privacy-preserving energy management policies (EMPs) are proposed, which differ in the way the target load profile is characterized. Additionally, a simplified and more practical EMP, which optimizes the energy management less frequently, is considered. Numerical results are presented to compare the performances of these EMPs in terms of the privacy-cost trade-off they achieve, considering a number of privacy indicators.

Includes members:
  Member "privacy aware smart metering progress and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "privacy aware time series data sharing with deep reinforcement learning")
  Member "optimal demand side management for joint privacy cost optimization with energy storage":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "privacy aware smart metering progress and challenges")
  Member "privacy protecting energy management unit through model distribution predictive control":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "privacy cost trade off in a smart meter system with a renewable energy source and a rechargeable battery")
  Member "information theoretic privacy for smart metering systems with a rechargeable battery":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "privacy aware time series data sharing with deep reinforcement learning")
  Member "the uk dale dataset domestic appliance level electricity demand and whole house demand from five uk homes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deep learning based energy disaggregation and on off detection of household appliances")
  Member "smart meter privacy for multiple users in the presence of an alternative energy source":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "universal mutual information privacy guarantees for smart meters")

Question: Please tell me which class the source paper 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.IT(Information Theory)