9 results about "Transaction model" patented technology

The application discloses a kind of multi-element load linkage regulation method, system, equipment and medium, comprising: constructing the two-stage operation transaction model of multi-element load aggregation main body user, forms lower user response model;Establish two-stage robust regulation model dominated by distribution network operator;Introduce power grid topology adjustable constraint;Coupling user response model and enhanced operator regulation model, build double-layer interactive optimization framework, form two-stage robust double-layer optimization problem containing integer variable;Optimization problem is solved using nested column constraint generation algorithm, output optimal electricity price guide strategy, direct load control amount and topology adjustment scheme, as the total scheme of multi-element load linkage regulation for weak point uncertainty.

The present application relates to the technical field of power equipment management, and more particularly to a physical transaction quantum optimization modeling method, system, device and medium for a transformer area cluster: heterogeneous operation data is acquired and a unified decision variable set is generated according to a commitment object configuration; a preset constraint maintaining mixer is input, a target Hamiltonian is created in a feasible subspace determined by power hard constraints, and quantum bit strings are used to guide quantum approximate optimization; a parameterized quantum circuit is constructed based on the Hamiltonian and the mixer, and a target bit string is solved; and after decoding, a physical transaction model that can be directly used in multiple markets is output. The present application endogenously embeds hard constraints in quantum search, and realizes mutual exclusion of energy, capacity and mileage in a single time period through a unified variable set, thereby avoiding repeated occupation across markets, and thus solving the problem that existing algorithm models are difficult to simultaneously consider feasibility, economy and linearity, and improving the feasibility, stability and timeliness of bidding strategies for a transformer area cluster in multiple markets.

A user interface may display of an interactive element based on a security credential received from a user device attempting to access the user interface. The security credential may be used to identify a digital wallet and historical transaction information associated with a user of the user device. The interactive element of the user interface may display a recommended transaction based on a pattern of transactions determined from the historical transaction information and a status of the digital wallet. The recommended transaction may be executed based on an interaction with the interactive element.

This invention relates to the field of data processing technology, and more particularly to a multi-source data fusion and transaction behavior analysis platform based on machine learning. The platform includes: a multi-source data acquisition module for real-time acquisition of raw data from multiple data sources associated with the current transaction during the transaction process; a data feature extraction module for quality repair and multi-dimensional feature extraction of the raw data; a transaction behavior analysis module for determining the transaction pattern category based on individual behavior deviation and correlation risk value, determining whether the current transaction is abnormal based on behavioral trajectory similarity, and determining the comprehensive abnormality index of the current transaction; a risk assessment module for conducting in-depth risk assessment of transaction behavior; a decision output module for generating corresponding transaction handling instructions based on the risk assessment results; and an optimization module for dynamically adjusting the number of feature extraction nodes. This invention improves the accuracy of transaction behavior analysis.

Mechanisms for efficiently transferring multiple unspent transaction output (UTXO) tokens in a blockchain network operating a UTXO-based token transaction model are disclosed herein. These methods allow for the use of less computer processing and network bandwidth resources in the transfer of blockchain items, particularly in blockchain schemes with lineage tracking mechanisms (e.g. as may allow for clawback of tokens). Some embodiments comprise generating a delegated account and transferring the UTXO tokens into the delegated account. The ownership of the delegated account can then be transferred to another use of the blockchain network in a single transaction, thereby avoiding the need to individually transfer the UTXO tokens and incur the memory and computational resource burden and costs associated with therewith.

This application relates to the field of technology achievement transaction management technology, and discloses a blockchain-based technology achievement transaction evidence storage and traceability system, including: a blockchain storage module, which serves as the core data hub of the system, used to store evidence storage data and traceability data during the technology achievement transaction process. The evidence storage data includes ownership certificates of the technology achievement, transaction contracts, and value assessment reports, while the traceability data includes the research and development information of the technology achievement. A first algorithm is used to perform preliminary semantic annotation on the traceability data, combined with a second algorithm to accurately correct fuzzy labels, solving the problems of "fuzzy labels and semantic ambiguity" in traditional traceability. Simultaneously, the traceability logic is intuitively displayed through a label classification view and a correction record view, making information such as the research and development stage and transaction model of the technology achievement clearly interpretable. This helps both parties to the transaction and regulatory authorities quickly understand the meaning of the data, significantly improving the transparency and credibility of the entire technology achievement transaction process.

The application relates to a dual-view collaborative fusion method based on centrality features and high-order module bodies, which comprises the following steps: firstly, screening a key illegal module body set according to an original transaction network, and obtaining a module adjacency matrix according to the set; utilizing the centrality index of nodes and original node features, constructing a low-dimensional feature matrix, and then fusing the original adjacency matrix and the module adjacency matrix to generate node embedding for each node in the original graph; and finally, classifying the nodes in the original transaction network into legal nodes and illegal nodes through a random forest classifier. It can be seen that the application constructs a dual-view fusion model with topological-semantic alignment, and innovatively designs a parallel and hierarchical aggregation architecture to deeply couple low-order physical fund flow and high-order criminal semantics, so that deeper modeling of complex illegal transaction modes can be realized, and excellent performance can be achieved in standard scenes, and stronger structural robustness can be shown when facing noise interference and topological camouflage.

The application provides a multi-channel payment reconciliation exception positioning method and system and electronic equipment, relates to the information processing technical field of reconciliation systems, and the method first acquires flow data of a multi-channel payment platform and maps the flow data into a target transaction model, and simultaneously constructs an internal business document chain based on a payment instruction, an accounting voucher and a document state; then, a matching operation is performed, and target transaction pairs that fail to match or have inconsistent amounts are screened out; for each target transaction pair, the processing state of the transaction in different systems is extracted from multiple heterogeneous information systems, and a multi-source state combination is generated; finally, exception positioning is performed according to a predefined state combination logic table, and specific links in which exceptions occur are accurately output. The application significantly improves the exception positioning accuracy and interpretability, greatly reduces the manual troubleshooting cost, and realizes a substantial breakthrough from amount inconsistency to link mismatch.

The application discloses a micro-dispatching layer coordination optimization scheduling method based on ATC-ADMM. A double-layer optimization architecture is constructed, the upper layer is a power distribution network operation scheduling model, the lower layer is a multi-micro-grid energy sharing and point-to-point transaction model, and interlayer coupling is realized through tie-line power. In the upper layer, the target cascade analysis method ATC is introduced, and decoupling and iterative coordination with the lower layer are realized by taking the tie-line power as a boundary variable; in the lower layer, the alternating direction multiplier method ADMM is introduced, the micro-grid alliance problem is decomposed into a cost optimization and a revenue distribution sub-problem, and distributed collaborative solution is realized. The method comprehensively considers power flow constraints, voltage constraints, energy storage dynamic characteristics and multi-energy coupling characteristics, and introduces an asymmetric Nash bargaining mechanism to realize fair distribution of revenue. Through layered coordination and distributed optimization, the system calculation complexity is effectively reduced, the renewable energy consumption capacity and operation economy are improved, and the privacy safety and scheduling consistency of each subject are ensured.