Information processing device, information processing method, and information processing program
The information processing device addresses the high calculation costs of creating operational plans for power facilities by downsampling data to maintain error trends and creating scenarios for future market prices and elements, thereby reducing costs while maintaining accuracy.
JP7647982B1Active Publication Date: 2025-03-18FUJI ELECTRIC CO LTD
6 Cites 0 Cited by
Patent Information
- Application Number
- JP2024092555
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2024-06-06
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2044-06-06
AI Technical Summary
Technical Problem
Existing methods for creating operational plans for power facilities require a large number of scenarios to ensure accuracy, leading to significant calculation costs.
Method used
An information processing device that acquires data including market prices and actual values, downsamples this data to maintain error trends, and creates multiple scenarios for future market prices and elements, reducing the need for extensive calculations.
Benefits of technology
The proposed solution reduces calculation costs while maintaining the accuracy of operational plans for power facilities by using downscaled data to create scenarios.
✦ Generated by Eureka AI based on patent content.
Abstract
Provided is an information processing device capable of reducing the calculation costs when creating an operation plan for power equipment. [Solution] An information processing device comprising: a first acquisition unit that acquires first data including multiple past predicted values of the market price of electricity and elements related to the market price and actual values corresponding to the past predicted values; a second acquisition unit that acquires second data obtained by downsampling the first data so as to maintain a first error trend between the actual value and the predicted value of the market price and a second error trend between the actual value and the predicted value of the elements; and a scenario creation unit that creates multiple scenarios for the future market price and each of the elements based on the second data and future predicted values of the market price and each of the elements.
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