Electricity price prediction method and device, storage medium, and computer equipment
By improving the electricity price prediction method, using time period division and load level sequence to find real-time clearing of electricity prices on similar days, the problem of electricity price prediction in the prior art relying on personal experience and improving the accuracy and efficiency of prediction.
CN119762143AInactive Publication Date: 2025-04-04BEIJING TSINTERGY TECH CO LTD
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Patent Information
- Application Number
- CN202510271950.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-10
- Publication Date
- 2025-04-04
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Technical Problem
In the prior art, electricity price predictions rely too much on personal experience, resulting in low accuracy and low efficiency in trading quotation strategies.
Method used
By dividing the time period and load rate at 96 o'clock throughout the day, a load level sequence is generated, and the real-time clearing of electricity prices on similar days is found, and future electricity prices are predicted based on this.
Benefits of technology
It improves the accuracy and efficiency of electricity price prediction, helps traders conduct spot trading more scientifically and maximize trading returns.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention provides a method and device for predicting electricity prices, a storage medium, and a computer device, wherein the method includes: dividing the 96 points of the day into time periods according to a first preset rule to obtain a number of time periods; and, dividing the load rate into levels according to a second preset rule to obtain a number of load levels; obtaining the load rate of the entire network at different time periods on a target date, and generating a load level sequence corresponding to the target date according to the target load level corresponding to the target time period; finding a historical date that is the same as the load level sequence corresponding to the target date as a similar day; obtaining the real-time clearing electricity price on the similar day, and predicting the future real-time clearing electricity price of the target date according to the real-time clearing electricity price. Through the present invention, a simulated clearing electricity price curve is constructed based on the spot trading rules of the Inner Mongolia West Power Grid, which provides a scientific theoretical support for traders' decision-making, helps traders better conduct spot trading, and thus maximizes trading revenue.
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