8 results about "Electricity retailing" patented technology

The invention relates to the technical field of power retail, in particular to a power retail package recommendation method and system, and the method comprises the steps: obtaining user historical power consumption data through an intelligent electric meter or a power data collection terminal, and constructing user power consumption sample data after denoising and abnormal value processing; and in combination with the user attribute data and the power retail package attribute data, adding a user power consumption feature tag for the sample data. And training a package recommendation model by using the power consumption sample data and the feature tags. And acquiring real-time power consumption data and user attribute data of the current user as model input, calculating a recommendation score of each power retail package through a model, and pushing the package with the highest score to a user terminal as a recommendation result. According to the method, personalized recommendation is realized through data driving, the power retail service precision is improved, and the user experience is optimized.

The application discloses a kind of based on customer portrait's electric power retail package push method and system, it is related to electric power market technical field.The method includes: constructing the customer peak clipping and valley filling portrait model based on DDPM, the historical load of customer is mined, the peak clipping and valley filling characteristics of customer are extracted, and peak clipping and valley filling time difference model and peak clipping and valley filling electric quantity difference model are constructed in combination with grid peak value characteristics, valley value characteristics, according to the height of peak clipping and valley filling time difference and the height of peak clipping and valley filling electric quantity difference, four kinds of electric power retail package are formulated respectively;Construct the electric power retail package judgment model based on GPT, judge the peak clipping and valley filling time difference and peak clipping and valley filling electric quantity difference of customer, according to the judgment result of GPT selects to push one of package one to package four to customer.The application can realize according to the peak clipping and valley filling characteristics of customer, and the appropriate electric power retail package is customized and pushed to user, improves the accuracy of push, improves the enthusiasm of user participation electric power package activity.

A power retail market price risk monitoring method and system. The method comprises the following steps: acquiring provincial power retail market monthly operation data; constructing a retail market overall price monitoring index based on the power retail market monthly operation data; establishing a retail market price risk early warning model based on threshold dynamic correction to generate a list of retail electricity companies that need to be warned; and directing the disclosure of retail market overall price monitoring information to corresponding retail users. The present application realizes accurate quantitative evaluation of the overall price risk of the power retail market.

The application discloses a power carbon emission right joint transaction method based on a block chain technology, and is suitable for joint transaction of power transaction and carbon emission right generated due to the power transaction under a power distribution network. The method comprises the following steps: inputting data such as carbon emission curve parameters of different types of units, carbon emission limits and power retailer prices; establishing a regional user carbon emission constraint and a carbon tax penalty function; establishing a power and carbon emission joint transaction market optimization model under the power distribution network; solving market decisions of each participant in the market under an alternating direction multiplier method framework; and uploading the decision results of the user to a block chain node in an encrypted manner. The method can realize power transaction in the power distribution network, calculate carbon emission of an energy system in a park, manage joint transaction of power and carbon emission through an intelligent contract, realize privacy protection of transaction information, and ensure the executable of transaction results under a power grid voltage safety constraint.

This invention relates to the field of electricity retail trading technology, and more particularly to a work order service recommendation system and method for electricity retail platforms and reputation perception. Based on blockchain technology, this invention utilizes the immutability and full lifecycle auditing capabilities of distributed ledgers to ensure the authenticity and integrity of user data and key event data of work orders, avoiding security risks such as score fraud and work order record tampering. It employs a fusion model of local and global reputation values, combining prediction accuracy and historical behavior quality for comprehensive scoring. K-Means clustering and Euclidean distance calculation are used to dynamically evaluate the contribution of data providers, effectively improving the accuracy and fairness of recommendation results. The introduction of the Gompertz function enables nonlinear reputation updates, making the reputation system more discriminative and convergent. This invention solves the technical problems of existing electricity retail trading service recommendation systems, such as lack of trust mechanisms, insufficient privacy protection, lack of incentive mechanisms, and low efficiency of consensus mechanisms.

The application discloses a power sale market transaction information management system and relates to the technical field of power retail information management.The system comprises a data gathering and storage module, a user portrait construction module, a dynamic settlement engine, a rule base and configuration center and a bill generation and traceability module.The data gathering and storage module is used for acquiring and storing actual power consumption data of users in a preset time granularity from an external power grid metering system.The user portrait construction module is connected with the data gathering and storage module.The dynamic settlement engine is connected with the data gathering and storage module and the user portrait construction module.The rule base and configuration center are used in a parameterized and formulated form.The settlement accounting core is configured to be triggered at a settlement period.The bill generation and traceability module is connected with the dynamic settlement engine.The system collects and analyzes user power consumption and transaction behavior data, generates a quantitative portrait and maps the portrait to an N-dimensional settlement judgment space as a structural factor, realizes adaptive division and differentiated settlement strategy matching, supports flexible pricing and personalized services.

The invention discloses an optimized bidding method for a hybrid power supply chain, and relates to the technical field of electric power market bidding. According to the method, a mixed competitive power supply chain including renewable energy power generation enterprises, fossil fuel power generation enterprises and power retailers is constructed, and four operation modes of centralized decision making, simultaneous bidding, first bidding of the renewable energy power generation enterprises and first bidding of the fossil fuel power generation enterprises are considered. By establishing a demand function and a profit function of each participant, an equilibrium solution in different modes is solved by applying a reverse induction method, and the optimal wholesale electricity price and the optimal electricity purchase quantity are determined. According to the method, internal independent resource autonomous bidding right and aggregator overall collaborative scheduling are deeply combined for the first time, a distributed robust optimization model is fused to process renewable energy uncertainty, unified decision of risk control, market game and internal collaboration is realized, and economic robustness and strategy competitiveness of a hybrid power supply chain are improved.

Systems and methods for advanced energy settlements in electric power grid are proposed. At least one energy customer, at least one retail electric provider and at least one distributed generator connect to an advanced energy settlement platform communicatively. The advanced energy settlement platform is operable to summate a customer balance from all the settlement blocks during a billing period and collect payments from the at least one energy customer automatically; aggregate and settle distributed energy charges with distributed generators and fixed energy charges with the energy retailer or retail energy provider for the at least one energy customer during the billing period. The advanced energy settlement platform also provides interactive graphical user interface for different participants in the advanced energy settlement and for advanced energy settlements application development kit (ADK) for access to functionality within the advanced energy settlement platform.