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 "towards simulation and risk assessment of weather related cascading outages"):
  Abstract: Weather and environmental factors are verified to have played significant roles in historical major cascading outages and blackouts. Therefore, in the simulation and risk assessment of cascading outages in power systems, it is necessary to consider the weather and environmental effects. This paper proposes a method for the risk assessment of weather-related cascading outages. Based on the analysis of historical outage records and temperature-dependent physical outage mechanisms of transmission lines, an outage rate model considering weather condition and conductor temperature is proposed, and the analytical form of outage probability of lines are derived. With the weather-dependent outage model, a two-stage risk assessment method based on Markovian tree (MT) search is proposed, which consists of offline full assessment, and online efficient update of risk assessment results and continued MT search using updated NWP data. The test cases on NPCC 140-bus test system model in winter and summer scenarios verify the advantages of the proposed risk assessment method in both accuracy and efficiency.

Includes members:
  Member "efficient simulation of temperature evolution of overhead transmission lines based on analytical solution and nwp":
    also connected through other hyperedges:
      (none)
  Member "reduction of cascading outage risk based on risk gradient and markovian tree search":
    also connected through other hyperedges:
      (none)
  Member "risk assessment of multi timescale cascading outages based on markovian tree search":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "efficient simulation of temperature evolution of overhead transmission lines based on analytical solution and nwp")

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.CE(Computational Engineering, Finance, and Science)