22 results about "Market based" patented technology

Various embodiments described herein relate to providing and / or employing a system and a method for managing a plurality of market-based instruments in a facility. In this regard, emission factors corresponding to a plurality of assets in the facility are stored in an emission factor repository. As a result, total actual emissions corresponding to the plurality of assets is calculated based on the stored emission factors. Then the total actual emissions are compared with a carbon emission target, wherein the carbon emission target corresponds to a specific period. Furthermore, total emissions are predicted in the facility for the specific period based on the stored emission factors and a result of the comparison. Accordingly, the predicted total emissions in the facility is displayed via a user interface of a display device.

The invention provides an electric power spot market day-ahead clearing method and system based on flexible resource participation, and belongs to the technical field of electric power system operation and market transaction. Comprising the following steps: constructing a medium and long term transaction auxiliary decision-making model, and performing parameter optimization by adopting a gradient descent algorithm; according to a decision-making thought of the medium and long term transaction auxiliary decision-making model after parameter optimization, transaction variety weights are set, and transaction bins are formulated; optimizing the set weight by taking risk benefit balance as a decision-making target, and executing electric quantity distribution; and constructing an income risk quantification model, and adjusting the weights and transaction bins of different transaction varieties according to a quantification result to realize continuous optimization of the day-ahead clearing strategy of the electric power spot market. According to the method, the reasonability of power resource allocation can be remarkably improved, and strategic guidance is provided for day-ahead clearing of a power spot market.

The invention belongs to a power market simulation method, and provides a power market transaction simulation drilling method and a related device for solving the problems that a practical operation training tool is lacked in a current power market construction process, and the adaptability with actual operation is insufficient in a market system design and rule optimization process. After a power market subject model, market load demand data and an adaptive environment are determined, power medium-and-long-term centralized bidding transaction simulation is performed according to the power market subject model and the adaptive environment by adopting a mode of cooperative interaction of a master station end and a substation end, and power medium-and-long-term rolling matchmaking transaction simulation is performed based on a marketization transaction rule. The method comprises the following steps: carrying out the whole-process closed-loop simulation of an electric power spot day-ahead market, calculating the comprehensive income score of a competitor according to a simulation result, and obtaining an electric power market transaction simulation drill result in combination with a model result and the comprehensive income score. The method is superior to the prior art in the aspects of simulation efficiency, operation stability and practical training.

An object of the system according to the embodiment is to evaluate market suitability of a business idea of a user and provide a specific action plan.SOLUTION: A system includes an idea input part, a market evaluation part, a customer specification part, and a competition analysis part. The idea input unit inputs an idea of a user. A market evaluation part evaluates the market needs on the basis of the idea input by the idea input part. A customer specification part specifies a target customer layer on the basis of the market needs evaluated by the market evaluation part. The competition analysis unit analyzes a situation of a competitor based on the target customer layer specified by the customer specification unit.SELECTED DRAWING: Figure 1

The invention discloses a regional electricity-gas-carbon market equilibrium analysis method, which comprises the following steps: respectively constructing market participant models based on data of each participant in a regional electricity-gas-carbon comprehensive market; constructing a market operator model based on the market operator data: constructing a power market operator model by taking maximization of social welfare as a target in the power market; constructing a gas market operator model by taking maximization of social welfare as a target in the regional natural gas market; constructing a carbon market operator model by taking the income brought by maximizing the distribution of the carbon quota to the market as a target; converting a market equilibrium problem into a generalized Nash equilibrium problem on the basis of operation characteristics of market participants and strategies adopted by the market participants, and converting a convex optimization problem of the model into a complementary model according to a Karush-Kuhn-Tucker condition to obtain a market equilibrium model; and solving the market equilibrium model to obtain a market equilibrium deduction result. According to the method, an effective basis is better provided for regional electricity, gas and carbon price change deduction.

The present disclosure relates to a power spot market clearing simulation method based on energy block transaction, comprising the following steps: obtaining the estimated bidding plan of each market participant; dividing the reported power of each market participant into several energy blocks; establishing a power-price pair model; establishing a day-ahead clearing model of the power spot market based on energy block transaction to obtain a day-ahead market clearing result; establishing a real-time clearing model of the power spot market based on energy block transaction and solving to obtain a real-time market clearing result, wherein the real-time market clearing result comprises real-time market clearing power and real-time market clearing price; and settling the income of each market participant according to the day-ahead market clearing result and the real-time market clearing result. The present disclosure considers the physical and economic constraints of multiple types of energy blocks in the day-ahead and real-time markets and the physical constraints of the power system, and can more accurately simulate the day-ahead-real-time two-stage clearing process of the power spot market based on energy block transaction in a market environment.

The invention relates to the technical field of market feedback multi-source data calculation, discloses a dynamic rebate calculation method and system based on market feedback and multi-source data fusion, and aims at solving the problems that a traditional rebate mechanism is extensive in excitation and lacks market responsiveness and service quality coupling. The method comprises the following steps: constructing a multi-source heterogeneous data acquisition system covering job seekers, human resource specialists and community promoters; performing cleaning, normalization and layered embedded feature engineering on the original data to form a unified feature vector; establishing a service quality evaluation system integrating post authenticity, complaint rate and credit records; and carrying out nonlinear weighting on the contribution score and the service quality score, and dynamically generating a personalized rebate amount in combination with industry supply and demand popularity and a time decay compensation formula. According to the scheme, excitation precision, risk control preposition and market self-adaption are achieved, and the rebate input-output ratio, the matching efficiency and the platform credibility are remarkably improved.

An object of a system according to an embodiment is to collectively support planning and execution of a sales strategy in a global market.SOLUTION: A system according to an embodiment includes a market analysis unit, a customer targeting unit, a translation unit, a customer support unit, and a marketing optimization unit. The market analyzer analyzes the market using the generated AI. The customer targeting unit identifies a customer segment based on the market identified by the market analysis unit. The translation unit translates the product description to the customer segment specified by the customer targeting unit. The customer support unit responds to the inquiry from the customer based on the product description translated by the translation unit. The marketing optimization unit optimizes a marketing strategy based on the data collected by the customer support unit.SELECTED DRAWING: Figure 1

The invention provides an energy storage income optimization strategy method and system based on a market mechanism, and relates to the technical field of energy storage income, and the method comprises the steps: recognizing an asymmetric risk conduction path through obtaining a multi-time scale price curve and a bidirectional option contract term, and building a network model; performing state-aware dynamic mapping to construct a cross-space-time hedging strategy group; introducing energy loss and response time delay constraints to establish a state dependent pricing equation; and the energy storage capacity bidirectional option transaction is executed, and the risk conduction weight and the hedging strategy are optimized by using feedback information, so that closed-loop optimization of pricing accuracy and hedging effectiveness is realized, and the income level of the energy storage equipment is improved.

This invention provides a market-based energy storage revenue optimization strategy method and system, relating to the field of energy storage revenue technology. The method includes: acquiring price curves across multiple time scales and two-way option contract terms; identifying asymmetric risk transmission paths and establishing a network model; performing state-aware dynamic mapping to construct a cross-temporal hedging strategy group; introducing energy loss and response delay constraints to establish a state-dependent pricing equation; executing two-way option transactions for energy storage capacity and utilizing feedback information to optimize risk transmission weights and hedging strategies, achieving closed-loop optimization of pricing accuracy and hedging effectiveness, and improving the revenue level of energy storage equipment.

The application discloses a kind of based on VCG mechanism's electricity-gas-carbon combined market under comprehensive energy system optimization operation method, constructs integrated power, natural gas, carbon cycle and green certificate transaction comprehensive energy system coupling model, maximizes social welfare by distribution robust optimization model, adopts Wasserstein fuzzy uncertainty set to process carbon price and green certificate price uncertainty, calculates each unit externality payment value using VCG mechanism and endogenously determines electricity price and gas price, finally outputs optimal scheduling scheme satisfying multiple constraints.The method can solve the problems of low efficiency of resource allocation and insufficient carbon emission reduction incentives in existing single market mechanism, improve the reliability of multi-market data correlation analysis by exploiting energy conversion and carbon cycle, enhance the robustness of data under constraints using Wasserstein uncertainty set, and significantly improve the reliability of data analysis and the accuracy of optimization decision-making in complex energy systems by avoiding strategic pricing distortion using VCG mechanism, providing support for the construction of new power systems.

The invention provides a circuit-assisted market operation strategy optimization method and device based on model analysis, relates to the field of power markets, and solves the problem that in the prior art, when a market is optimized, due to unstable power supply of renewable resources, excessive production capacity of an adjusted market operation strategy is possibly caused, and the market operation strategy optimization efficiency is improved. And the development of a power system is not facilitated. The method comprises the following steps: acquiring operation parameter data of a power system and market transaction data of a power market; analyzing the operation parameter data of the power system to obtain market demand data; adjusting a transaction strategy based on the market demand data and the market transaction; predicting the market demand data according to the operation parameter data of the power system to obtain predicted demand data; evaluating the market risk according to the predicted demand data to obtain a risk level; and implementing risk management and control measures according to the risk level. The method and the device are used in a circuit-assisted market operation strategy optimization process.

Disclosed herein are method, system, and computer product aspects for queue management and facilitating transactions based on an exchange of queue position. This may include a physical change in relative queue position between queuing devices and / or an exchange of queue position in an electronic queue. Upon exchanging queue positions, the queuing devices may conduct a transaction to transfer value for the exchanged position. The exchange of queue positions may include vehicles traveling on a roadway and exchanging positions in traffic, exchanging positions between mobile device users standing in a line, and / or exchanging positions in an electronic queue. Monetary funding may be transferred between the queuing devices when exchanging positions in the queue. A queue management system may generate a suggested positional exchange amount based on user parameters, conditions, and / or preferences for interacting with the queue.

The invention belongs to the technical field of electricity market risk identification, and discloses a multi-level spot market risk identification method and a related device, and the method comprises the steps: reading the market data of a multi-level spot market; based on the market data, risk assessment index values of the multi-level spot market are calculated, and the risk assessment index values comprise a market price risk index value, a multi-level market association risk index value and a market power risk index value; calculating a weight coefficient of the risk assessment index value of the multi-level spot market by adopting an improved entropy weight method; and based on the risk assessment index value and the weight coefficient of the multi-level spot market, calculating a market risk comprehensive assessment value, and identifying a risk type and a risk level according to the market risk comprehensive assessment value. An improved entropy weight method is adopted to determine various risk index weights, and the improved entropy weight method can effectively overcome the defects of a traditional entropy weight method and can also enable the entropy weight method to keep the capability of distinguishing entropy value differences.

The application discloses a market subject management method and system based on multi-source data fusion, relates to the technical field of intelligent supervision, and comprises the following steps: based on a plurality of data holders, feature data of a market subject risk state is generated locally; the plurality of data holders interact through a privacy protection cooperation mechanism, participate in the construction process of cross-domain risk cognition consensus, and form a cross-domain risk consensus discriminator locally; the cross-domain risk consensus discriminator is used to filter high-risk market subjects from the feature data of the market subject risk state, and a high-risk market subject list is formed; for each market subject in the high-risk market subject list, an actual behavior track is formed based on the feature data of the market subject risk state. The application realizes local risk cognition model iterative optimization through inspection feedback, and forms a process from risk accurate identification, deep attribution analysis to intelligent supervision intervention and self-sustaining optimization.

A method and system for evaluating the reliability of virtual power plant operation across multiple time periods and scenarios is disclosed. The method includes: constructing a four-level evaluation index system and normalizing the indicators; calculating the subjective weights of the indicators using the analytic hierarchy process (AHP) and the objective weights using the entropy weight method, optimizing to obtain combined weights; calculating multi-time dimension scores and multi-space dimension scores based on multi-time window weights and multi-space hierarchical weights, respectively, to obtain a multi-time-space evaluation score; dynamically calculating the scenario weights of each market based on the proportion of market transaction volume and the urgency coefficient of system demand, obtaining a multi-scenario evaluation score based on the scenario weights and combined weights; identifying and quantifying uncertainties, calculating risk coefficients; and integrating the multi-time-space evaluation scores and multi-scenario evaluation scores to form a comprehensive reliability score, risk level, and optimization suggestions, which are then output. This invention provides support for the optimized operation and market decision-making of virtual power plants.

Systems, apparatuses, and methods are described for contextually augmenting content, which may be offered based on segment types associated with various sentiments, emotions, and / or excitement levels which may be detected and / or aligned in the content. The contextual content augmentation may comprise in-video contextual advertising, which may be based on advertisement strategies such as segment-based, alignment / detection-based, market-based, and / or user-based strategies.

The invention discloses a power supply configuration equilibrium model establishment method based on a capacity and inertia market mechanism, and the method comprises the steps: S1, designing an inertia market mechanism, and enabling an inertia market to be a medium-and-long-term inertia market based on auction; s2, constructing a power supply configuration equilibrium model based on the Stackelberg game, including S2.1, constructing an upper layer model to solve the problem of profit maximization of a power producer; s2.2, a lower-layer model is constructed to solve the problem of clearing of multiple markets, and the multiple markets comprise an energy reserve joint market, a capacity market and an inertia market; and S3, solving the power supply configuration equalization model. According to the invention, by designing the inertia market and researching an inertia adequacy mechanism from the medium and long term time scale, a power generator can be effectively stimulated to invest inertia resources.

The present application relates to the technical field of intelligent manufacturing complex aviation weapon equipment delivery, in particular to a construction method of internal marketization management system based on complex equipment delivery problem, comprising: analyzing business process and organizational structure based on delivery link, analyzing and combining internal marketization system construction paradigm, constructing internal marketization market system for delivery; taking time as the standard for measuring the value of delivery problem, correcting internal transfer price based on SERVQUAL model and constructing internal marketization price system for delivery; constructing internal marketization accounting system for delivery based on market system and price system; constructing internal marketization measurement and evaluation system based on AHP hierarchical analysis method to determine index weight. Through the construction method, the management system constructed can effectively solve the problem of complex delivery problem processing process.

In one implementation, a device assigns a budget to a bidding agent associated with a networking entity in a computer network. The device obtains a bid from the bidding agent selected by the bidding agent based on the budget. The device conducts an auction using the bid. The device excludes the networking entity from being eligible for performance of an energy-saving action, based on a result of the auction.

The application relates to the technical field of network advertising, in particular to an advertisement data management system based on market trend analysis, which comprises a data acquisition module, an analysis module, a prediction module, a conversion rate calculation module and an adjustment module. The application reflects the advertising effect by acquiring the click and purchase data after the advertisement is put, accurately identifies the change trend of user behavior through the analysis module, calculates the user change rate, thereby providing data support for the advertisement putting strategy, predicts the future purchase trend through the analysis of historical data, accurately evaluates the conversion rate change of the advertisement through the comparison between real-time and prediction data, provides the basis for optimizing the advertising effect, judges whether the advertisement putting duration needs to be adjusted according to the comprehensive analysis of the user change rate and the conversion rate change rate, ensures the efficient use of the advertising resources, significantly improves the accuracy and flexibility of the advertisement putting, is beneficial to the conversion rate and the return on investment of the advertisement, and realizes the continuous optimization and improvement of the advertising effect.

The application provides a market mechanism-based distributed resource negotiation and space-time conflict resolution method, which comprises the following steps: a management node constructs a space-time demand Bloom filter according to a task space-time constraint and broadcasts a task announcement, while maintaining a reputation model containing a node historical scheduling bias and a conflict contribution degree; after a contractor node matches the filter, the contractor node submits a bid containing a resource scheduling scheme and an associated confidence degree; the management node combines the reputation information and the confidence degree to calibrate the scheduling scheme, obtains a resource scheduling probability distribution, and calculates a global load entropy reduction amount according to the resource scheduling probability distribution; when there is a conflict, a loss function is constructed based on task migration, resource idling and opportunity cost, an occupation compensation cost is calculated, an evaluation value is obtained by comprehensively considering the bid benefit, the entropy reduction amount and the compensation cost, and a contract is awarded by selection, and after the contract is executed, the reputation record of the contractor node is updated according to the actual execution situation and the conflict result, so that the distributed resource negotiation and conflict optimization resolution are realized.