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3 results about "Current price" patented technology

Method for reminding price reduction of goods based on collection duration

PendingCN122115053ACommerceUser needsCollection duration
The application relates to the field of intelligent recommendation systems, and particularly discloses a commodity price reduction reminding method based on collection time length, which comprises the following steps: triggering commodity price reduction reminding according to user collection commodities; collecting data according to the collection commodities, dynamically determining a price reduction triggering threshold according to the collection commodity time length; monitoring the current price of the commodity based on the price reduction triggering threshold; when the current price is reduced to <= the price reduction triggering threshold, sending a price reduction reminding information to the user; when the current price of the commodity is > the price reduction triggering threshold, continuing to monitor; and adjusting the strategy of subsequent price reduction reminding according to the feedback behavior of the user to the price reduction reminding information. The application calculates the collection commodity time length weight through a ladder type weight, quantifies the user demand urgency behind the collection time length, changes the reminding strategy from commodity orientation to user demand orientation, and solves the problem that the reminding is not in line with the user will.
Owner:CHINA SOUTHERN POWER GRID INTERNET SERVICE CO LTD

Cost analysis method, device and equipment, storage medium and program product

The invention provides a cost analysis method, device and equipment, a storage medium and a program product, and relates to the technical field of project cost, the method comprises the following steps: obtaining a candidate system set meeting user project requirements, the candidate system set comprising a plurality of candidate systems provided for user projects; obtaining a to-be-evaluated price of the candidate system according to a price evaluation model and the current price of the candidate system, the price evaluation model being used for performing alignment processing on the current price on at least one of a brand, a region, a purchasing mode and time; evaluating the candidate system on at least two dimensions of a technical dimension, a performance dimension, a historical use frequency dimension and a price dimension to obtain a multi-dimensional evaluation result; and selecting a target system from the candidate system set according to the to-be-evaluated price and / or the multi-dimensional evaluation result, and according to the scheme of the invention, the project cost scheme can be intelligently recommended.
Owner:国投融合科技股份有限公司

Virtual power plant price prediction method and device, equipment and medium

The invention discloses a price prediction method and device for a virtual power plant, equipment and a medium, and belongs to the technical field of electric power, and the method comprises the steps: obtaining an actual electricity price sequence of a previous price prediction period when a current price prediction period is reached; calculating a basic reward based on the predicted electricity price sequence of the previous price prediction period, the actual electricity price sequence and a preset market fluctuation index; obtaining the number of competitors participating in the same prediction task in the previous price prediction period, determining the competition intensity according to the number of the competitors, and dynamically selecting a reward calculation strategy matched with the competition intensity according to a preset mapping relationship between the competition intensity and a reward strategy; adjusting the basic reward based on the matched reward calculation strategy to obtain a comprehensive reward value; updating a price prediction model of the virtual power plant by using the comprehensive reward value; and generating a predicted electricity price sequence of a current price prediction period by using the updated price prediction model in combination with historical electricity price data of the electric power spot market and current market environment information.
Owner:SHANGHAI ELECTRIC DISTRIBUTED ENERGY TECH CO LTD