73 results about "Purchase cost" patented technology

The invention discloses a cross-border e-commerce multi-platform order intelligent scheduling and inventory collaborative management system, and relates to the technical field of data processing, and the system comprises a data processing module which obtains real-time data of purchase cost, exchange rate fluctuation, storage cost and logistics cost, cleans and standardizes multi-source heterogeneous data, obtains a cost data set of a unified format, and stores the cost data set of the unified format; the trend analysis module is used for calculating the change trend of the purchase cost, the exchange rate fluctuation, the storage cost and the logistics cost in the time dimension according to the cost data set in the unified format to obtain the dynamic weight of each cost factor, and the inventory pricing module is used for calculating the real-time comprehensive cost of each commodity by adopting a weighted average algorithm according to the dynamic weight of each cost factor and calculating the real-time comprehensive cost of each commodity. A dynamic inventory pricing result is obtained; according to the cross-border e-commerce multi-platform order intelligent scheduling and inventory collaborative management system, the problems of pricing lag and profit loss caused by the fact that a traditional inventory pricing method cannot respond to cost fluctuation in real time are solved.

The invention discloses an auxiliary decision-making method and system for regional coal market purchase, and belongs to the technical field of coal market purchase decision-making, and the method comprises the steps: building model input parameters through collecting the data of a fire coal demand plan of a power plant, the maximum supply of a supplier, a coal quality index, a purchase price and a transportation cost; constructing a mixed integer linear programming model taking the minimization of the total purchase cost as a target function, and setting a demand satisfaction constraint, a supply capability constraint and a coal quality standard reaching constraint; solving the mixed integer linear programming model by adopting a two-stage approximation algorithm; and converting the obtained approximate optimal solution into a visual purchasing scheme chart and report, and supporting a user to dynamically adjust the purchasing scheme through an interactive interface to generate a final purchasing decision. According to the invention, on the basis of comprehensively considering the coal quality, the purchase cost, the transportation mode and the supplier capability, the coal purchase plan is optimized, the cost minimization is realized, and the overall quality of coal purchase is improved.

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 relates to a transaction mechanism and a clearing method for an electric power alternative spot market, and aims to solve the adjustment problem caused by access of high-proportion renewable energy in a novel electric power system. The method comprises the following steps: firstly, defining volume adjustment commodities and a transaction mechanism thereof, generating and correcting a system adjustment demand curve based on an adjustment demand curve reported by a market subject, collecting the volume adjustment quotation of each market subject to construct a clearing model, carrying out clearing by adopting an equal volume adjustment increment criterion, and determining a bid-winning volume. And dynamically adjusting the adjustment demand of the system through multiple rounds of adjustment transactions until the adjustment demand converges to zero. The method further comprises an external quantity adjustment price determination method and a transaction surplus allocation mechanism, and can eliminate the negative extrinsic property of the adjustment capability, realize the marketization configuration of the adjustment capability, improve the market operation transparency and predictability, reduce the total electricity purchase cost of the system, simplify the market clearing process, and improve the user experience. The method is suitable for a novel power system with high-proportion renewable energy access.

The invention discloses an energy storage participation electric power spot-frequency modulation market joint bidding clearing method based on a DDPG algorithm, and the method comprises the steps: building a quotation decision-making layer model with the maximum profit of a power generator as a first target, and the profit of the power generator comprises the profit of a thermal power unit, the profit of a new energy unit, and the profit of an energy storage unit; constructing a market clearing layer model by taking the minimum total purchase cost of the electric energy and the frequency modulation auxiliary service as a second target, wherein the total purchase cost comprises the purchase cost of a thermal power generating unit, the purchase cost of a new energy unit and the purchase cost of an energy storage unit; obtaining a joint bidding clearing double-layer model based on the quotation decision-making layer model and the market clearing layer model; and solving the joint bidding clearing double-layer model by using a DDPG algorithm to obtain an optimal quotation and quantity reporting strategy of each market subject in the electric power spot market and the frequency modulation market. According to the invention, an optimal quotation and quantity reporting strategy can be provided for each market subject including the energy storage unit to participate in electric power spot-frequency modulation market joint clearing, so that reasonable allocation of market resources is realized.

The invention relates to the technical field of power markets and distributed energy regulation and control, in particular to a cross-market joint clearing and safety checking method, device, equipment and program product. The method comprises the steps of obtaining cost information and income information of power generation of each target aggregator; taking the cost information of each node as the input of a power purchase cost planning layer in the game model, taking the income information of an operator as the input of an income planning layer in the game model, and solving the game model to obtain a scheduling plan; checking the scheduling plan by using the security constraint condition, and determining the scheduling plan as a target plan in the clearing process under the condition that the scheduling plan meets the security constraint condition; wherein the safety constraint condition comprises constraint on power transmission section out-of-limit and constraint on deviation cost of power supply quantity. By adopting the method, the safety in the combined clearing process can be improved.

The invention discloses a power plant fire coal matching and purchasing decision-making method and system, relates to the technical field of power plant fuel management, and aims to solve the problems of high purchasing cost and low decision-making efficiency caused by low coal source and unit demand matching degree and dependence on artificial experience of an existing power plant fire coal purchasing decision-making method. The method comprises the following steps: acquiring multi-source heterogeneous data; processing the multi-source heterogeneous data to generate a standardized feature data set; inputting the standardized feature data set into an AI fusion analysis model fusing a gradient boosting tree and an attention mechanism, and outputting a cost prediction result and a key index weight; and adopting an improved hybrid particle swarm optimization algorithm, and iteratively determining an optimal solution of the four-dimensional variable of the multi-objective function through an inertia weight dynamic adjustment strategy to obtain a target purchasing scheme. The power plant fire coal matching and purchasing decision-making method provided by the invention is used for improving the matching degree of the coal source and the unit demand in the fire coal purchasing decision-making, reducing the purchasing cost and improving the decision-making efficiency.

This invention relates to the field of power system demand response technology, and provides a user demand response method based on master-slave game theory under cost control constraints. The method includes: establishing a demand response model using master-slave game theory, where electricity retailers design time-of-use pricing strategies, and electricity users respond based on a convex utility function; the utility function includes a quantification term for electricity usage satisfaction and a calculation term for electricity costs; the electricity retailers' revenue function includes four functions: user electricity costs, long-term market electricity purchase costs, current market electricity purchase costs, and conditional risk value, coupled with the characteristics of the electricity spot market and risk management requirements; proving the existence of a Nash equilibrium solution using backward induction; and optimizing the strategy based on a slime mold optimization algorithm. This invention provides important support for electricity retailers to formulate flexible pricing mechanisms and tap demand-side resources in terms of cost control for users with high response potential and optimization of peak-valley load differences.

The invention discloses a commodity information display method and device, a commodity information acquisition method and device, electronic equipment and a storage medium, in the commodity information display method, to-be-combined commodity information and combined commodity summary information are acquired, and then a to-be-combined commodity selection trigger control and a plurality of combined commodity selection trigger controls can be displayed on a to-be-combined commodity detail page. The combined commodity selection trigger control at least displays a thumbnail of a combined commodity main image and combined commodity selection cost information, and the to-be-combined commodity selection trigger control at least displays a thumbnail of a to-be-combined commodity main image; therefore, style information and purchase cost information of selectable combined commodities can be conveniently checked on the to-be-combined commodity detail page, style information of selectable to-be-combined commodities can be checked at the same time, and a user can conveniently decide whether to select the combined commodities or not based on a combined commodity selection trigger control and a to-be-combined commodity selection trigger control. And thus, the purchasing efficiency of the multiple commodities is improved.

The invention discloses a differential bidding method and system based on dynamic order aggregation, and the method comprises the steps: carrying out the multi-channel aggregation of orders, constructing an order pool group, carrying out the differential bidding (transfer bidding / reverse auction), carrying out the replacement distribution, avoiding the loss of orders, and fusing an anti-communication mechanism and cross-platform credit evaluation to guarantee the fairness and safety. The system carries out fund trusteeship through an intelligent contract, and transaction fund safety is ensured. The method is suitable for multiple scenes such as B2B, B2C, O2O, presale, customization and the like, the purchase cost, the marketing cost and the unsalable risk can be effectively reduced, and the method has remarkable economic benefits and practical values.

The invention discloses an aluminum plate strip foil processing enterprise secondary aluminum resource use profit accurate accounting method, and the method specifically comprises the following steps: S1, a single-batch secondary aluminum profit accounting method is used for calculating the independent profit generated in the use process of secondary aluminum of a specific purchase batch; s2, a monthly secondary aluminum profit accounting method used for calculating the total profit generated by monthly secondary aluminum use of an enterprise; and S3, a cross-period inventory cost rolling mechanism which is used for solving the inventory cost accounting problem during cross-month use of the secondary aluminum purchase batch and ensuring that the historical purchase cost continuously affects subsequent monthly profit calculation. The beneficial effects of the invention are that: accurate traceability: profit independent accounting of secondary aluminum of a specific purchase batch is realized; dynamic response: the influence of market fluctuation on profit is reflected in real time through an SMM price linkage mechanism; cost continuity: inventory cost rolling calculation eliminates inter-period profit distortion; and decision support: quantifying economic benefits of different secondary aluminum suppliers / purchase time points, and guiding purchase strategy optimization.

The present application relates to the technical field of power system resource optimization scheduling, and particularly relates to a deep scheduling method and system for deep peak regulation of coal-fired units, which comprises the following steps: collecting multi-dimensional operation parameters of the unit, deep peak regulation instructions and carbon price signals of the carbon emission trading market, and realizing timestamp alignment; constructing a five-dimensional safety constraint model associated with the economic cost boundary; taking the maximization of peak regulation income as the target, constructing an objective function by fusing the coal purchase cost, carbon trading cost and equipment maintenance cost, solving the economic scheduling scheme by using a dynamic programming algorithm, and executing a cross-system collaborative strategy; based on the LSTM, predicting the equipment life and digital twin simulation, and triggering the cross-system correction strategy. The present application solves the business collaboration problem of economy, environmental protection and equipment reliability in deep peak regulation, and realizes the maximization of peak regulation income of coal-fired units under the power market environment.

The invention discloses an enterprise internal acquisition cost optimization decision support system based on big data analysis. The system comprises a data aggregation and integration module, a purchase behavior feature extraction module, a cost driving factor deconstruction module, a supplier multi-dimensional evaluation module, a purchase strategy intelligent customization module, an enterprise purchase data warehouse and an enterprise purchase supervision terminal. The purchase strategy suitable for the enterprise is intelligently generated by integrating the purchase behavior characteristics, the cost driving factors and the supplier evaluation result, the purchase cost composition and the dynamic change can be accurately informed, scientific and reasonable purchase decision suggestions are provided for the enterprise, the purchase cost is effectively reduced, and the purchase efficiency is improved. And the execution effect of the purchasing strategy is monitored, evaluated and fed back in real time, so that each link of the purchasing process can be monitored in real time, potential problems can be found and solved in time, the purchasing efficiency and quality are improved, the optimization of the purchasing cost and the maximization of the overall benefit are realized, the purchasing supervision difficulty of an enterprise is remarkably reduced, and the intelligent level is high.

The present invention discloses a pricing method and system for cascade hydropower interprovincial power transmission that responds to the peak-shaving demand of the receiving power grid, and belongs to the field of hydropower generation. First, the peak, flat and valley periods of electricity prices in the receiving provinces are divided, and a feasible set of time-of-use electricity price schemes is formulated; then a cascade hydropower multi-province power generation model is established; finally, the time-of-use electricity price scheme is input into the cascade hydropower multi-province power generation model, and after calculating the 24-hour external transmission output curve of the cascade hydropower, two evaluation indicators, namely the power purchase cost and the peak-shaving effect of the receiving power grid, are calculated. The time-of-use electricity price scheme is optimized through a non-dominated sorting algorithm, and the indicator weights are set and a preference function is defined. The scheme with the smallest preference function value is selected as the optimal time-of-use pricing scheme. Under the condition of meeting the maximum power generation income, the present invention effectively promotes its response to the peak-shaving demand of the receiving power grid, realizes the balance of spontaneous power generation between the sending end and the receiving end at the hourly level, and the power purchase cost of the receiving power grid is controllable, thereby achieving a win-win situation for the power plant and the receiving power grid.

The invention relates to a closed-loop purchase management method and system based on secondary bidding and dynamic evaluation, and belongs to the technical field of purchase management. At least three suppliers are screened out from candidate suppliers through competitive negotiation, and value-added service commitments of the suppliers are locked; during actual purchase, the entered supplier performs real-time secondary bidding, and the purchaser selects the optimal price based on the quoted price and the service; afterwards, quantitative ranking is carried out on the performance of the suppliers through a full-period dynamic evaluation system, and last position elimination and automatic position complementing are carried out according to the ranking. According to the invention, through constructing a closed-loop management system of negotiation, secondary bidding, dynamic evaluation and elimination and space complement, refined purchase of price real-time change objects such as air tickets and hotels is realized. The method can effectively stimulate the continuous competition of suppliers, significantly reduce the purchase cost and supporting expenditure, transfer the risks of withdrawing, changing, pick-up and the like to the suppliers, comprehensively improve the service response speed and quality, and enhance the purchase flexibility and the supply chain management efficiency.

The invention relates to the technical field of metal price prediction, in particular to a precious metal abrupt change point prediction method, which comprises the following steps: identifying a time sequence abrupt change point according to a CUSUM control chart method, and introducing acceptance degree parameters representing investors on precious metal price small fluctuation to construct a price coarse graining method. Financial behaviors of investors are analyzed according to evolution of global topological indexes (betweenness) at the mutation points, optimal parameters of the complex network are determined, change characteristics of mutation point modals in the complex network are obtained, precious metal price modals are predicted according to an LSTM prediction method, the occurrence time of the next mutation point is determined, and the optimal parameters of the complex network are obtained. According to the invention, the research of the price abrupt change point is integrated into the complex network model of the precious metal price modal prediction, the accuracy of the price modal prediction is improved, and a manager can obtain the criticality of the price abrupt change point more accurately, so that the supply chain, the inventory and the purchase plan are adjusted in time, and the purchase cost is reduced.

This application relates to a pricing method and apparatus for charging and discharging at electric vehicle charging stations within industrial and commercial parks. The method includes: determining the charging and discharging energy cost and battery aging cost for each vehicle model within the target park; constructing a decision model for the owner's charging and discharging power curve for each target electric vehicle under each vehicle model based on charging and discharging price information, charging and discharging energy cost, and battery aging cost; determining the electricity market purchase cost, owner electricity interaction cost, and the number of target electric vehicles corresponding to each vehicle model within the target park; and constructing and solving an optimization decision model for the target park based on the owner's charging and discharging power curve decision model to obtain the target charging and discharging price information for the target park. This solves the problems of existing charging station pricing methods that do not use game theory to model the conflict of interest among parties, and that are unable to effectively consider battery aging costs, thus failing to provide reasonable pricing for electric vehicle services.

The invention discloses a double-layer optimization method and system for a new storage complex to participate in a two-stage electricity market, and relates to the technical field of electricity transaction, and the method comprises the steps: obtaining the prediction data of wind power and photovoltaic power, market data, and the state of a hydropower unit in an inter-province and intra-province two-stage electricity market; constructing a lower-layer optimization model with the net income maximization of the new storage complex as a target, constructing an upper-layer optimization model with the minimization of the power purchase cost and the CVaR risk cost as a target, converting and combining the lower-layer optimization model to the upper-layer optimization model to form a single-layer MILP model, and outputting an optimal scheduling plan; identifying the potential execution deviation of the medium and long term contract based on the prediction data before operation, and executing a corresponding contract adjustment strategy; and after the settlement period is finished, reconstructing a profit distribution scene based on the actual operation data, and obtaining the income of each member. According to the invention, a risk management mechanism is introduced, so that an operation strategy can effectively avoid a huge loss risk caused by extreme electricity price fluctuation while pursuing high income.

The utility model discloses a transfer jacking and transplanting device for AGV conveying and robot grabbing, and relates to the technical field of AGV conveying and robot grabbing transfer, the transfer jacking and transplanting device comprises a base and a jacking mechanism, and the jacking mechanism is fixed in the middle of the base. According to the design, the tool jacking function is achieved, the position needed for grabbing the bottom of the tool is reserved, the optimal effect of automatic grabbing and placing is achieved, the purchase cost of accessories is reduced, the functions of all the accessories are reasonably applied, and therefore low-purchase-cost multifunctional cleaning application is achieved, the occupied space of an installation site is reduced, and the installation efficiency is improved. The corresponding personnel investment cost is reduced, the transportation / production / purchase / installation cost is reduced, the utilization rate of the cleaning device is increased, the problems that AGV batch tools are conveyed to a transfer transplanting device, and grabbing devices are used for taking and placing in batches are solved, the supply problem caused by the low AGV conveying efficiency is solved, and through program standardization, the production efficiency is improved. Program debugging is reduced, and multi-machine unified mutual test can be achieved.

The invention discloses an integrated energy system optimization operation system and method considering demand response under a carbon transaction mechanism. The method comprises the steps of optimizing an initial electrical load value and an initial thermal load value of an integrated energy system according to a preset price elasticity matrix and an adjustment weight coefficient to obtain a corresponding electrical load optimization value and a thermal load optimization value; equivalently optimizing the electrical load optimization value and the thermal load optimization value by using a preset equivalent replacement proportionality coefficient to obtain an equivalent electrical load optimization value and an equivalent thermal load optimization value; the total carbon emission amount is obtained according to the output power of the gas equipment and the unit power emission factor, and the carbon market transaction cost corresponding to the total carbon emission amount is obtained through a carbon transaction cost expression; constructing a total cost minimization objective function according to the operation and maintenance cost of all the devices, the preset energy purchase cost and the carbon market transaction cost; and setting a constraint function optimization total cost minimization objective function based on the basic operation data, the equivalent electric load optimization values and the equivalent thermal load optimization values of all the equipment.

The invention provides a cost accounting method and system for online advertisement putting, and relates to the technical field of internet advertisement putting, and the method comprises the steps: obtaining the number of newly-added users of each channel in a specified time period; on the basis of the preset unit price of each channel and the obtained number of the newly-added users, the theoretical purchase cost of each channel in the specified time period is obtained through calculation; obtaining the actual purchase cost of each channel in a specified time period; and comparing the actual buying cost with the theoretical buying cost to obtain a cost accounting result of each channel. In the cost accounting process, each specified time period is used as an accounting node, and an independent calculation process is set for each channel, so that a calculation script does not need to be modified, the accounting time is saved, and the purpose of improving the accounting efficiency is achieved. Meanwhile, sharing logics of the cost per capita in each channel are not crossed and do not interfere with each other, so that the accuracy of cost accounting is guaranteed.

The invention provides a power purchase method based on inter-provincial spot goods power purchase risk grading evaluation and related equipment. The method comprises the steps of obtaining risk evaluation data corresponding to a first power purchase scheme based on inter-province spot power purchase risk grading evaluation indexes; wherein the risk grading evaluation indexes comprise a first-level risk index, a second-level risk index and a third-level risk index; performing standardization processing on the risk evaluation data to obtain standardized risk evaluation data; determining a third-level risk score corresponding to the third-level risk index based on the standardized evaluation data; based on the third-level risk weight and the third-level risk score of the third-level risk index, obtaining a second-level risk score of the second-level risk index; weighting the second-level risk score based on the second-level risk weight of the second-level risk index to obtain a first-level risk score about the first-level risk index; and optimizing the first power purchase scheme based on the first-level risk score and the power purchase cost to obtain a target power purchase scheme for power purchase.

The invention discloses an optimization method for participation of a high-energy-consumption industrial load in demand response, and the method comprises the steps: constructing a revenue function for participation of a high-energy-consumption industrial user in demand response according to the production revenue, excitation revenue and shutdown cost of the high-energy-consumption industrial load, and calculating the production revenue according to the yield of a product of the last process of the high-energy-consumption industrial load, according to the response quantity fed back by the high-energy-consumption industrial load, the excitation income is calculated, and according to the operation state of the continuous process in the high-energy-consumption industrial load, the shutdown cost is calculated; an operation cost function of the power grid operator is constructed according to the response compensation cost, the power purchase cost and the load shedding cost of the power grid operator, the response compensation cost is calculated according to the response amount fed back by the high-energy-consumption industrial load, the power purchase cost is calculated according to the power purchase amount of the power grid operator, and the load shedding cost is calculated according to the load shedding amount of the power grid operator; and according to the revenue function and the operation cost function, adopting an iterative algorithm based on a golden section method to calculate a subsidy incentive update value.

To appropriately determine an operation condition by considering a levy imposed according to an environmental load.SOLUTION: The present application relates to an operation condition determination device for determining an operation condition including a plurality of resources to be used for an object manufacturing process. The device acquires candidate resource information including an environmental index associated with a levy to be specified in accordance with a purchase cost and an environmental load about multiple candidate resources that are selectable as the resources, and calculates an actual cost obtained by adding the levy to the purchase cost about each candidate resource on the basis of the candidate resource information. Also, the device calculates the total cost obtained by totaling the actual cost for each combination of the candidate resources, and determines an operation condition by performing comparison on the basis of a determination reference.SELECTED DRAWING: Figure 1

The embodiment of the invention discloses a multi-dimensional cost determination method and device, equipment and a medium. The method comprises the steps of obtaining a to-be-checked cost service, wherein the to-be-checked cost service comprises a to-be-purchased commodity; determining a business dynamic cost factor corresponding to the business to be subjected to cost accounting, wherein the business dynamic cost factor comprises a purchase dynamic factor, a storage dynamic factor and a travel dynamic factor; obtaining historical data corresponding to the to-be-checked cost business, wherein the historical data comprises historical data corresponding to the to-be-purchased commodity; and determining a target allocation strategy corresponding to the purchase dynamic factor, the storage dynamic factor and the travel dynamic factor based on historical data corresponding to the to-be-purchased commodity, and determining the purchase cost corresponding to the to-be-accounting cost business based on the target allocation strategy. According to the embodiment of the invention, the refinement degree and accuracy of cost accounting are improved, and the cost competitiveness and resource configuration efficiency of an enterprise in a complex market environment are enhanced.

The application discloses a liftable intelligent floor grading box, a mounting method and a control method thereof. The liftable intelligent floor grading box comprises a grading box, a climbing track, a power device, a cable, a standard section, a supporting wall section and a control unit, can freely match the power floor of a grading box, can be called and served at any time, can reduce the purchase cost and the maintenance cost, can be customized according to the floor height, can be installed at one time, and can be used in the whole engineering construction process.

The utility model relates to the technical field of polishing, in particular to a combined polishing device. The combined polishing device comprises a polishing device body, the polishing device body comprises a driving assembly, a connecting assembly and a polishing assembly, one end of the connecting assembly is connected with the driving assembly, the polishing assembly is detachably connected with the other end of the connecting assembly, and the driving assembly is detachably connected with the connecting assembly. Through the design that the driving assembly and the polishing assembly are detachably connected with the connecting assembly respectively, assembly replacement and cost during maintenance are simplified, a user can replace a fault assembly without replacing the whole device, maintenance cost is reduced, meanwhile, the user can rapidly replace the driving assembly according to the machining precision requirement, and the machining efficiency is improved. The polishing device adapts to various working scenes, the requirement for purchasing various precision devices is reduced, the purchasing cost is effectively reduced, and the management process is simplified.

The invention discloses an enterprise production management and control method, which comprises the following steps: acquiring customer demand information, matching standard product parameters, and obtaining a bill of materials and process data; acquiring purchase cost data according to the bill of material data; obtaining design working hours, manufacturing working hours and labor cost data according to the process data; calculating a delivery cycle according to the design time and manufacturing time data, and comparing the delivery cycle with a pre-delivery cycle to judge the delivery cycle; or / and; calculating a calculated net profit value according to the labor cost and purchase cost data, comparing the calculated net profit value with a preset net profit value, and judging the preset net profit value; and whether sales contract signing information of the customer demand information is output or not is judged according to a delivery cycle judgment result or / and a net profit judgment result. According to the invention, data real-time, accurate and efficient interaction of each management system in standard product matching, supply chain and production and manufacturing links in a customer demand information pre-implementation process is realized, the problems of delayed delivery and loss are solved, and non-standard product demands are eliminated very early.

This invention provides a method and system for optimizing electricity purchase plans on the retail side based on load fractal characteristics, belonging to the field of electricity market technology. This invention extracts load fractal characteristics reflecting their correlation features by performing modal decomposition on historical load and bidding data; analyzes electricity market rules to form constraint units and identifies risk-sensitive nodes that cause fluctuations in electricity purchase costs; performs perturbation correction on the fractal characteristics based on these sensitive nodes to generate corrected load forecast results; maps the forecast results to the constraint structure to construct the correlation topology between load characteristics and electricity purchase costs; further extracts the cost sensitivity distribution, establishes a hierarchical mapping model, performs structured optimization, and outputs the electricity purchase plan. This invention improves the responsiveness of electricity purchase strategies to market changes and the level of cost control under complex market conditions.

The present invention discloses an energy pricing method for an electric-gas integrated system. The method establishes a day-ahead market clearing model for the electric-gas integrated system by considering energy contracts and using the power network constraints, natural gas network constraints, and electric-gas integrated network coupling constraints as the constraint conditions, and taking the minimization of the sum of the power purchase costs of the power grid company and the gas purchase costs of the natural gas company as the objective function. Then, through this day-ahead market clearing model, the sum of the power / gas purchase costs of other members is calculated when each member participates and does not participate in the day-ahead market clearing, and the change in the sum of the power / gas purchase costs of other members is used as the value of this member to formulate the energy price. In the above technical solution, the energy operator formulates the energy price mechanism based on the values of each member obtained by the above method, which can prompt market members to report true prices in the bidding in order to achieve their maximum interests, and ensure the effective dispatching and stable operation of the power market.