4results about How to "Improve risk control ability" patented technology

The application relates to the technical field of artificial intelligence, and discloses a data processing method, device, equipment and storage medium to improve blacklist processing capability. The method part comprises the following steps: receiving a loan approval request sent by a target business system, the loan approval request carrying loan approval data, the loan approval data comprising a system type of the target business system and attribute information of an applicant; calling a blacklist interface corresponding to the system type to obtain a system blacklist; judging whether the applicant is a user in the system blacklist according to the attribute information of the applicant; when the applicant is not a user in the system blacklist, a platform blacklist of an automatic approval platform is called; judging whether the applicant is a user in the platform blacklist according to the attribute information of the applicant; when the applicant is a user in the platform blacklist, a loan service corresponding to the loan approval request is rejected, and rejection result information is generated and fed back to the target business system.

The invention discloses an energy storage power station collaborative planning method and system based on uncertainty propagation analysis. In order to solve the problems that an existing energy storage planning method is indefinite in physical mechanism and insufficient in interpretability, the planning method comprises the steps that operation data of a power system are obtained, and an analysis alternating current probabilistic power flow model used for establishing an analysis relation between system voltage statistical characteristics and line power statistical characteristics is constructed based on the operation data; constructing a propagation matrix representing the uncertainty propagation characteristics of the system based on the analysis of the AC probabilistic power flow model; performing spectral analysis on the propagation matrix to identify one or more dominant propagation modes which play a dominant role in the uncertainty of the system; and based on the one or more dominant propagation modes, determining a planning scheme of at least one type of energy storage power station, the category of the planning scheme including the access position capacity of the energy storage power station. According to the method, energy storage configuration is guided by using an uncertainty physical propagation mechanism, and the risk control effect, the calculation efficiency and the engineering interpretability of a planning scheme are remarkably improved.

The invention discloses a financial derivative pricing method and device, electronic equipment and a storage medium. The method obtains a market data stream; performing first quantum preprocessing based on a plurality of subject asset price paths in the market data stream, and iteratively calculating an expected income price of the target derivative based on a first quantum preprocessing result by using a quantum amplitude estimation algorithm; performing second quantum preprocessing based on the risk factor of the investment portfolio in the market data stream, and iteratively calculating a risk open expected value of the target derivative based on a second quantum preprocessing result by using a quantum approximate optimization algorithm; and target derivative pricing is realized under the condition that the expected income price is matched with the risk opening expected value. According to the technical scheme, the risk control effect of financial derivative pricing is improved.

The application provides a credit business risk control decision method, device, equipment and medium based on multi-source data fusion, which comprises the following steps: acquiring multi-source data related to the subject identifier of a credit subject; performing entity analysis and alignment on the multi-source data based on the semantic features of each entity in the multi-source data, and constructing an initial knowledge graph; performing fusion and conflict resolution on the multi-source data through a space-time decay fusion model based on the confidence score of each data source in the initial knowledge graph and the corresponding time decay weight, performing entity screening on the initial knowledge graph based on the fusion result, and obtaining an optimized knowledge graph; for each entity node associated with a heterogeneous data source, calling a scoring model adapted to the data characteristics thereof, and generating a comprehensive credit score through a model integration mechanism; and determining a risk control decision for the credit subject based on the comprehensive credit score. The method, device, equipment and medium provided by the application realize accurate and efficient risk control decision, and significantly improve the risk identification accuracy.