116 results about "Transaction price" patented technology

The invention relates to the technical field of electric power system risk assessment, and discloses a risk assessment system based on an electric power transaction market, which realizes real-time acquisition and dynamic processing of electric power transaction price data through a price data real-time acquisition module in combination with a real-time deviation analysis module, calculates a price deviation value in real time and captures related influence factors, thereby realizing risk assessment of the electric power transaction market. The dynamic parameter adjustment module can establish a correlation model, automatically trigger parameter adjustment when real-time factor fluctuation exceeds a threshold value, and realize automatic updating of computational logic by combining scene adaptation and emergency adjustment subunits, so as to ensure that a price deviation value accurately reflects an actual risk; the risk assessment module combines dynamic parameters to construct a model, calculates risk indexes and divides grades, the risk early warning module generates early warning information in time, and the risk conduction analysis and pressure test unit provides comprehensive risk pre-judgment, assists market subjects to scientifically make plans, and maintains the stability of the power transaction market.

The invention provides a transaction and scheduling optimization method and system for a virtual power plant participating in a spot market, relates to the technical field of energy systems, and solves the problem of electricity purchase cost minimization of the virtual power plant participating in spot transaction and the problem of how to report and regulate adjustable resources in the virtual power plant containing multiple distributed energy main bodies. The method comprises the following steps: acquiring first data and second data; according to the spot transaction price, the static data, the first data and the second data, constructing an optimization target for minimizing the overall power purchase cost of the virtual power plant, and setting a comprehensive power constraint condition and an energy storage system constraint condition; and solving through a linear programming solver to obtain an optimal spot declaration strategy and a regulation and control strategy of corresponding equipment. The method is used in the virtual power plant transaction and scheduling optimization process, the declaration strategy of the electric power spot market is considered, the electric quantity of the real-time market is adjusted through adjustable resources such as adjustable equipment and energy storage equipment on the user side, and the electricity purchase cost can be reduced and the marketization risk can be controlled.

The invention provides a data transaction method and device, equipment, a medium and a program product, relates to the technical field of block chains, and aims to solve the problem of relatively poor efficiency of data transaction in related technologies. The method comprises the following steps: based on data demand information, creating a demand task pool by using an intelligent contract, and broadcasting the data demand information to each node in a block chain system; receiving at least one data abstract and guarantee fund submitted by the at least one data owner node through the smart contract, and writing the at least one data abstract into a demand task pool; under the condition that the first data demander node determines m first data owner nodes, price negotiation is carried out based on m price parameters submitted by the m first data owner nodes and the smart contract, and a transaction result is determined; and under the condition that the first data demander node pays the resource corresponding to the transaction price, distributing the first target data to the first data demander node. According to the invention, the data transaction efficiency can be improved.

The invention provides an electricity market bidding strategy optimization method, system and device and a medium, and belongs to the technical field of electricity market transaction. The method comprises the following steps: acquiring public data of a power market, performing structured processing, extracting key information, and generating power market data; establishing a data optimization prediction model, and predicting the electricity price, the power demand load, the supply load, the enterprise power consumption cost and the power consumption at the future moment based on the power market data; receiving and configuring risk preference parameters input by a user, and generating an enterprise feature configuration file; sequentially calculating a market supply and demand influence factor, a real-time transaction price deviation degree, a reference income fluctuation value and a risk constraint term, and generating a final premium proportion based on a calculation result; on the basis of the final premium proportion, determining a bidding price at a future moment, constructing an objective function to optimize the bidding cost, solving an optimal premium proportion sequence and generating a bidding plan; and monitoring the income fluctuation rate in real time, triggering a feedback mechanism, and updating data.

The invention relates to an interval value carbon price prediction method based on multi-source data fusion and deep learning integration, and the method comprises the following steps: obtaining the actual historical transaction data of a carbon market, collecting the maximum price and the minimum price of the daily actual transaction of the carbon market, and determining an interval value carbon price sequence; key external driving factors influencing the carbon transaction price are screened through feature importance analysis, and data alignment is conducted on the key external driving factors of different market transaction days through a cubic spline interpolation method; cEEMDAN-VMD dual decomposition is adopted, and higher-precision multi-scale characterization of an original interval value carbon price sequence is achieved; and by taking the decomposition result and the determined external key driving factor as input and the carbon price prediction interval as output, constructing a carbon price interval prediction model, and finally outputting to obtain the carbon price prediction interval containing upper and lower boundary values. The method can effectively cope with the non-stationary and non-linear characteristics of the carbon valence sequence, and is good in expansibility and adaptability.

The invention discloses a power transaction auxiliary decision processing method and system based on extreme weather, and relates to the technical field of power transaction decision, and the method comprises the steps: obtaining an extreme weather early warning message to form an original weather early warning data set; performing space-time reference alignment on the data set to generate a grid chart containing a meteorological intensity matrix and a power generation facility distribution index; mapping the meteorological intensity matrix to obtain a meteorological sensitivity coefficient matrix, and carrying out topological association on power generation facility distribution indexes to obtain a power generation side asset vulnerability association table; inputting the two into a risk conduction calculation engine for coupling deduction to generate a power supply-demand imbalance risk thermodynamic diagram; constructing a transaction price elasticity prediction model based on the thermodynamic diagram, and forming a transaction strategy reference matrix; quotation interval suggestions are generated through matching of the decision rule base and are converted into standardized declaration instruction streams to be pushed to the transaction interface end. According to the method, the extreme weather information and the power transaction decision can be accurately joined, and the accuracy and the normalization of the transaction decision are improved.

A real estate transaction system that facilitates integrated real estate transactions by enabling a seller to list a property at a specified price with negotiation parameters, and allowing a buyer to submit offers for those properties. The system supports direct online negotiations where buyers and sellers can place offers and counteroffers in real time. A matching module optimally matches buyers and sellers with real estate agents based on property information, user preferences, agent performance ratings, and geographic location. The system includes a user interface module providing a graphical interface for users to interact with the transaction and matching modules. A data analysis module accesses and analyzes real estate transaction price data from government sources to generate price trend analyses that assist in accurate pricing.

The invention discloses a source-load two-way interactive transaction method and system based on electricity-carbon real-time coupling, and belongs to the field of data processing and energy management. The method comprises the steps of real-time carbon flow accounting and account management, source-load matching, electricity-carbon coupling bargaining, dynamic contract generation, performance accounting and real-time settlement adjustment. The method comprises the following steps: firstly, acquiring real-time marginal carbon emission factors and electric energy metering data, and calculating and updating real-time carbon flow values and accounts of participants; and constructing an electricity-carbon coupling bargaining model for the source-load transaction pair, negotiating to generate an electricity-carbon coupling transaction price, and generating a dynamic contract comprising a price-response function and a carbon flow-penalty reward function according to the electricity-carbon coupling transaction price. And after the contract is executed, settlement is carried out according to the actual carbon flow deviation. According to the method, a dual Nash bargaining mechanism and a dynamic interoperation contract are adopted, real-time carbon flow contribution is taken as core excitation, multi-subject interest conflict and transaction uncertainty can be effectively solved, and low carbon, efficiency and performance robustness of source-load interactive transaction are remarkably improved.

The invention discloses a virtual item transaction data processing method and device. Information texts related to historical virtual article transactions are collected, and historical valuation reference information and historical user related information of historical transaction users are extracted from the information texts through a large language model; when the transaction of the current virtual article is detected, determining current evaluation reference information related to the current virtual article from the historical evaluation reference information, and determining an estimated transaction price of the current virtual article according to the current evaluation reference information; determining current user related information of two current transaction parties of the current virtual article transaction from the historical user related information; and verifying the current virtual article transaction according to the estimated transaction price, the to-be-transacted price of the current virtual article transaction and the current user related information, and outputting an obtained verification result. According to the scheme, the problem that the transaction judgment result is affected due to the fact that the evaluation accuracy is not high in existing virtual article transaction verification can be solved.

The invention relates to the technical field of power systems and automation thereof, and particularly discloses an energy scheduling and decentralized transaction management system based on a battery energy storage system. The method comprises the following steps: collecting battery multi-mode health data through a sensor, and calculating and updating the health state of each battery module by using a Bayesian algorithm; system-level virtual charge state equalization is realized based on a chemical neutral virtual battery abstraction layer; predicting energy surplus or deficit of each node through a causal state space model; for deficit nodes, calculating an optimal energy supply path by a multi-hop energy balance controller; and in combination with a battery health state, an operation condition and the like, a transaction price is generated through a personalized energy token pricing engine, and finally, automatic settlement is performed through a block chain smart contract. According to the invention, the health and chemical characteristics of the heterogeneous battery can be deeply perceived, the asset life and the system safety are improved, and the economy and reliability of the distributed energy storage network are enhanced.

A new energy and thermal power bundling transaction pricing method considering resource complementary characteristics, first, the basic strategy of bundling sending transaction is made; then the monthly bundling transaction optimization model of inter-provincial wind, light new energy and thermal power is established, taking the minimum sending end power generation cost as the objective function, considering the wind and light abandonment cost, considering power balance, thermal power unit climbing constraint, minimum continuous start-stop time constraint, capacity constraint, new energy actual output constraint, wind and light abandonment constraint and bundling proportion constraint, etc., the optimal new energy and thermal power bundling configuration proportion is obtained by optimization solution; based on the optimal bundling proportion, the transaction power of new energy and thermal power is decomposed by using the power ratio method, the weighted method of new energy and thermal power on-grid transaction price is adopted, the bundling transaction transaction price and landing transaction price are obtained, so as to ensure that the landing price of the receiving end is the lowest. The method can consider the complementary characteristics of wind and light resources, the power grid power demand and the price bearing capacity of the receiving end, protect the interests of each power generation subject, and promote large-scale new energy power sending and consumption.

This invention discloses a pricing method and system for distributed electricity transactions in industrial parks that considers the bounded rationality game theory of prosumers and consumers, relating to the field of distributed transaction technology. The method includes: designing a distributed transaction structure for industrial parks, clarifying the transaction identities of prosumers and consumers and the roles of operators; constructing a prosumer payoff model based on prospect theory, deriving the payoff prospect value function, and calculating risk preference parameters through questionnaires and maximum likelihood estimation; constructing a non-cooperative game theory model of prosumers and consumers; and designing a distributed transaction pricing algorithm for industrial parks to maximize the total electricity transaction volume by iteratively updating transaction prices. This invention can capture the bounded rationality characteristics of prosumers and consumers, promote low-price and efficient electricity consumption, improve transaction stability and economy, and provide an effective solution for distributed transaction pricing in industrial parks.

The invention discloses an optimal scheduling method and platform for distributed collaborative mutual aid of multiple virtual power plants, relates to the technical field of intelligent scheduling of power systems, and is used for solving the problems of limited data privacy, slow optimization convergence and opaque transaction execution among the existing multiple virtual power plants. The method comprises the following steps: firstly, calculating power generation cost increments under different output levels according to wind power and photovoltaic output prediction and load demand prediction data of each virtual power plant, and generating a quotation curve reflecting transaction willingness; then, each virtual power plant quotation curve is used as an input, a distribution network topology parameter and a line capacity constraint are combined, a distributed collaborative optimization model based on Lagrangian relaxation is constructed, and parallel solving of local power optimization and coordination layer dual updating is realized; in the iteration process, a penalty factor is adaptively adjusted through the ratio of an original residual error to a dual residual error, and the stability and convergence efficiency of the algorithm are improved; after optimization convergence, the mutual aid power and the transaction price are written into a block chain intelligent contract, settlement and deviation punishment are automatically executed based on metering data on the chain, and a closed-loop scheduling system from distributed optimization to trusted execution is constructed.

To provide a real estate transaction estimation system, a real estate transaction estimation method, and a program capable of estimating which real estate transaction price is indicated by real estate transaction price data managed in a real estate information library. [Solution] A real estate transaction data acquisition unit 30 acquires real estate transaction data including transaction price data indicating the transaction price, location data indicating a location string common to multiple properties, and transaction time data indicating the transaction time. A real estate transaction estimation unit 34 estimates that land that is the subject of a registration application indicated by registration application information related to a land registration application, in which a character string including the location string indicated by the location data is indicated as a location string, the registration purpose is a sale and purchase involving the transfer of ownership, and the acceptance date is within a search period determined based on the transaction time data, is land included in the real estate whose transaction price is indicated in the real estate transaction data.

According to one embodiment, the commodity sales data processing device provides a registration unit, a price calculation unit, a reception unit, a first application unit, and a second application unit. The registration unit registers items being purchased in a sales transaction. The price calculation unit calculates a transaction price to be paid for the registered items. The reception unit receives information of coupons to be used in the sales transaction. When a received coupon is a first-type coupon, the first application unit applies a coupon benefit associated with the first-type coupon to a registered item. When the received coupon is a second-type coupon, the second application unit applies a coupon benefit associated the second-type coupon to the transaction price after a preliminary transaction price is calculated. The preliminary price reflects coupon benefits associated with any applied first-type coupons.

The invention relates to a regional peak regulation auxiliary service market pricing method and device and electronic equipment, and relates to the field of power system automation control, and the method comprises the steps: carrying out the peak regulation cost calculation of conventional hydropower in multiple resources, and obtaining the unit peak regulation cost of the conventional hydropower, determining a multivariate resource price limit according to the difference between the unit peak regulation cost and the multivariate peak regulation resource transaction mechanism; preferential market clearing is carried out on conventional hydropower with corresponding price limitation, grading price limitation processing is carried out on the price of the power generation right replacement transaction, and grading clearing processing is carried out on the clearing price of the power generation right replacement transaction exceeding the grading price limitation; determining a peak regulation compensation price adapted to the multi-element resources according to the clearing price, and settling a peak regulation auxiliary service cost based on the peak regulation compensation price; and the peak regulation auxiliary service cost is allocated to the target power generation enterprise and / or the target energy storage power station. According to the scheme, the peak regulation cost of the system can be reduced, the optimal configuration efficiency in the resource area is improved, and better connection with the provincial peak regulation market price is ensured.

The application provides a data transaction method and device, equipment, medium and program product, and relates to the technical field of blockchains, to solve the problem of poor efficiency of data transaction in related technologies. The method comprises the following steps: creating a demand task pool based on data demand information by using a smart contract, and broadcasting the data demand information to each node in the blockchain system; receiving at least one data summary and a margin submitted by at least one data owner node through the smart contract, and writing the at least one data summary into the demand task pool; in the case that a first data demander node determines m first data owner nodes, performing price negotiation based on m price parameters submitted by the m first data owner nodes and the smart contract to determine a transaction result; and in the case that the first data demander node pays resources corresponding to a transaction price, allocating first target data to the first data demander node. The application can improve the efficiency of data transaction.

The invention belongs to the technical field of settlement, and particularly relates to a peer-to-peer power transaction settlement method and system based on an alliance chain, and the method comprises the following steps: S1, obtaining to-be-settled power transaction data at least comprising two transaction parties, the key levels of the two transaction parties, the transaction electric quantity, the transaction price and the transaction time; s2, according to the historical transaction verification reliability and the power grid role identity of each consensus node, calculating to obtain a consensus weight of each consensus node; and calculating the whole-network consensus health degree according to the whole-network distribution of the consensus weight, and taking the whole-network consensus health degree as a regulatory factor. According to the method, false or wrong transactions which do not accord with rules can be filtered out before the data is linked, the authenticity and reliability of the on-chain power transaction data are guaranteed from the source, and the potential operation risk of a power grid is avoided.

The application discloses a market transaction method and system of a load aggregator based on P2P, wherein an initial value of a transaction price is issued by a load aggregator end to a producer-consumer end, price information of other producer-consumer ends is obtained through information exchange between the producer-consumer ends, a power plan is independently formulated by each producer-consumer end, and point-to-point price and plan exchange is carried out between the producer-consumer ends, when the adjustment result meets the convergence condition, the final power plan and transaction price of each producer-consumer end are reported to the load aggregator end, in this way, the calculation of the load aggregator end in the day-ahead stage is dispersed to the producer-consumer ends, and limited information exchange protects the user privacy and ensures the safety and timeliness. In the real-time stage, the load aggregator end counts the deviation power and informs other load aggregator ends; the load aggregator end of the power purchase type submits a sealed bid to a transaction platform; the platform determines a transaction result based on the VCG auction rule, and the electric energy deviation can be effectively eliminated.

The invention relates to the technical field of engineering cost management, in particular to a digital building engineering project cost management system. The system comprises a data acquisition layer, an intelligent analysis layer and a decision output layer, the data acquisition layer is used for sequentially and continuously acquiring physical quantity data, BIM component-level engineering quantity data, market price data and carbon emission activity data of a construction site; the intelligent analysis layer integrates a learning cost prediction model, a BIM-cost mapping engine, a cost deviation traceability knowledge graph and a reinforcement learning simulation module; the decision output layer deploys a dynamic budget adjustment mechanism of block chain evidence storage and executes a carbon cost measurement model; according to the dynamic budget adjustment mechanism of the block chain evidence storage, each budget adjustment is submitted to a permissible block chain network in a smart contract form, and a budget change voucher which cannot be tampered is generated after consensus of multiple nodes; and executing the carbon cost measurement model for calculating the marginal carbon cost in real time and dynamically injecting the carbon quota transaction price into the cost prediction model.

The invention relates to the technical field of intelligent retail technologies, in particular to a vending machine real-time pricing method and system based on a multi-dimensional factor, and the method comprises the steps: obtaining the information of a commodity needing to be priced, and the commodity information comprises coordinate information, a commodity name and batch information; based on the commodity information, factor data influencing pricing is collected in real time, and the factor data comprises an inventory factor, a time and environment factor and a commodity attribute factor; based on the commodity information and the factor data, a final price is calculated through a weighted adjustment model; based on the coordinate information, the final price is issued to the vending machine to be updated, transaction data are recorded, and the transaction record comprises the transaction price and the sales quantity corresponding to the transaction price. The method has the effect of capturing the demand change in real time in combination with multiple factors so as to carry out intelligent price adjustment.

This invention provides a real estate price appraisal system, method, and program that enable real estate agents to easily and accurately determine the fair transaction price of real estate. [Solution] The real estate price appraisal system 1 includes an information acquisition unit 610 that acquires environmental data of the target floor and the target building having the target floor, and a calculation unit 630 that uses a trained model LM that has learned to output the rent and sales price of the target floor and the sales price of the target building from the environmental data.

To provide a game with improved amusement for a player.SOLUTION: The program includes screen display means for displaying a home screen, a deck assembly screen, and a store screen of a game, provision control means for providing a first type of game element and a second type of game element used in a transaction in the game, transaction control means for performing control such that the first type of game element is preferentially consumed and then the second type of game element is consumed in the transaction, and option display means for displaying a total number of the first type of game element and the second type of game element, a breakdown screen option, and a provision screen option on a screen. The first type of game element is given according to a predetermined condition. The second type of game element is provided in exchange for a fee. When the total amount of the exchanged charges exceeds an upper limit amount within a prescribed period, the application control means notifies the user of it. The option displayer displays the breakdown screen by selection of the breakdown screen option and displays the provision screen for providing the second type of game element by selection of the provision screen option.SELECTED DRAWING: Figure 8

To provide a transaction real estate estimation system, a transaction real estate estimation method and a program for estimating which real estate transaction price data managed by a real estate information library indicates the transaction price of which real estate.SOLUTION: A transaction real estate data acquisition part 30 acquires transaction real estate data including transaction price data showing a transaction price, location data showing a location character string common to a plurality of real estates, and transaction period data showing a transaction period. The registered real estate estimation unit 34 is related to the registration application of the divided building, and estimates the divided building which is the target of the registration application indicated by the registration application information in which the character string including the location character string indicated by the location data is indicated as the character string of the location, the purpose of the registration is the ownership transfer trade, and the reception date is within the search period determined based on the transaction time data, as the divided building whose transaction price is indicated in the transaction real estate data.SELECTED DRAWING: Figure 1

The invention discloses a reinforcement learning-based house resource dynamic market valuation prediction optimization system, which comprises a data processing module for collecting real estate transaction, geographic information, economic indicators and policy event data and generating a house resource state vector; the expert data module is used for constructing a weighted expert track set according to expert valuation records and transaction prices; the state recognition module is used for executing point change detection and determining market state identification; the confrontation signal module is used for generating a hetero-variance weighted confrontation reward signal based on the improved GAIL model; the risk constraint module introduces conditional value risk constraints based on quantile regression to generate risk weighted signals; the strategy optimization module is used for updating valuation strategy parameters by the risk weighting signals and distilling the valuation strategy parameters into a lightweight reasoning model; and the deployment updating module is used for executing incremental training and parameter updating based on the newly added data. According to the invention, robust optimization and risk adaptive adjustment of the valuation strategy are realized.

The invention discloses a causal inference-based interpretable real-time bidding reference price prediction method. The method comprises the steps of receiving a bidding request of an advertisement transaction platform, constructing a structured causal model, inputting a historical bidding feature matrix into the structured causal model, and obtaining a causal graph among variables influencing a transaction price through learning by the structured causal model; performing reference price prediction on the bidding request by using a dual-stage dual machine learning method; based on a prediction result of the dual machine learning model and uncertainty quantization, generating a price prediction interval taking an estimated value as a center; generating three-level interpretable information including a node level, a path level and a global level; and returning a bid response containing the reference price prediction and the prediction interval and / or interpretable information thereof to the advertisement transaction platform. According to the invention, high-precision causal inference, interpretable analysis and low-delay online inference of price prediction in real-time bidding are realized.

The present invention relates to a system for estimating a floor area ratio and a business sales revenue on the basis of AI. According to the present invention, a system for estimating a floor area ratio and a business sales revenue on the basis of AI comprises: a land information input unit for receiving, from a user terminal, a location and a development purpose of a target lot subject to development; a floor area ratio prediction unit for predicting a floor area ratio of the target lot on the basis of the location and land information of the target lot; a presale price prediction unit for predicting a presale price per pyeong (3.3058 m²) of the target lot by applying, to an artificial intelligence-based prediction model, siting environment data of the target lot and actual transaction price data of surrounding buildings selected in consideration of the location and the development purpose of the target lot; a sales revenue estimation unit for calculating an expected sales revenue of the target lot by using the predicted floor area ratio and the presale price per pyeong; and an analysis result output unit for outputting an analysis result including the expected sales revenue for the target lot.

The invention relates to the field of real estate transactions, in particular to a real estate transaction system, which promotes integrated real estate transactions by enabling a seller to list objects according to specified prices and bargaining parameters and enabling a buyer to submit bids to the objects. The system supports direct online negotiation, and the buyer and the seller can bid and return prices in real time. A pairing module optimally pairs buyers and sellers to real estate intermediaries using performance scores of the intermediaries, geographic locations, and user preferences based on object and user preferences. The system comprises a user interface module for providing a graphic interface, so that a user interacts with a transaction module and a pairing module. A data analysis module accesses and analyzes real estate transaction price data from a government source, generating a price trend analysis to assist in precise pricing.

The invention relates to a device and a method for providing high-level member actual transaction price confirmation service. The electronic equipment comprises a memory and a processor connected to the memory, the processor receives transaction state information of members from an exchange terminal used for member exchange, verifies the transaction state information, obtains actual transaction prices, and creates a price list for each member according to the actual transaction prices. Furthermore, the actual transaction and the actual transaction are confirmed by requesting to confirm whether the membership has been transacted in the golf course using the transacted golf course membership, and requesting to the buyer and seller the confirmation of the transaction and the actual transaction price. In addition, for high-grade members such as golf members, the value is very high, so that the capital benefit tax needs to be paid during the transaction. And the actual transaction amount of the member is reported by the national tax bureau in each transaction direction so as to accurately calculate capital benefit tax. Therefore, the transaction amount declared to the national tax hall can be regarded as the actual transaction price.

The invention is suitable for the technical field of active power distribution network operation optimization, and provides an ADN distributed optimization method and system based on enhanced price update P2P transaction, and the method comprises the following steps: constructing a double-layer distributed optimization model comprising a producer and consumer P2P transaction layer and a physical optimization operation layer; the method comprises the following steps: iteratively optimizing an electric energy transaction price and a transaction volume between adjacent consumer consumers and / or between a consumer consumer and a superior main network based on an enhanced price updating mechanism by taking minimization of the operating cost of the consumer consumers as a target, and outputting an optimized active power transaction plan; on the basis of the optimized active power transaction plan, node voltage is calculated, and reactive power output of the producer and the consumer is optimized; judging whether all node voltages meet safe operation constraints or not; if yes, outputting a final optimization result; and if not, adjusting the active power transaction upper limit of each producer, and returning to the P2P transaction layer of the producer to carry out iterative optimization again.