Inventory rolling prediction method and system
A rolling forecasting and inventory technology, applied in data processing applications, instruments, calculations, etc., can solve the problems of purchasing unable to meet actual needs, inventory redundancy, reducing power plant revenue, etc., to improve inventory forecasting accuracy, improve economic benefits, and save money. The effect of predicting time
Pending Publication Date: 2022-07-22
华能(浙江)能源开发有限公司 +1
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[0004] The main purpose of the present invention is to provide a method and system for inventory rolling forecasting, aiming at solving the problem that in the prior art, coal-fired procurement cannot be associated with power generation, coal market conditions and dynamic fluctuations in power prices, which may easily lead to procurement failure to meet actual needs or Technical issues that create excess inventory and greatly reduce plant profitability
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[0039] It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.
[0040] The solutions of the embodiments of the present invention are mainly: by obtaining coal combustion constraints, and generating a monthly purchase plan according to the coal combustion constraints; The estimated consumption situation determines the expected coal storage amount; obtains the coal storage data and daily coal quality data at the transit port, and adjusts the expected coal storage amount according to the transit port coal storage data and the daily coal quality data , obtain the inventory rolling forecast results corresponding to the target period; it can maximize profits on the premise of ensuring the safe operation of the power plant, improve the accuracy of inventory rolling forecast, save forecast time, improve inventory forecast accuracy, and improve power generation efficiency. It improve...
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The invention discloses an inventory rolling prediction method and system, and the method comprises the steps: obtaining a fire coal constraint condition, and generating a monthly purchase plan according to the fire coal constraint condition; obtaining a current inventory and a predicted consumption condition, and determining an expected coal storage amount according to the current inventory, the monthly purchase plan and the predicted consumption condition; obtaining transfer port coal storage data and daily coal quality data, adjusting the expected coal storage amount according to the transfer port coal storage data and the daily coal quality data, and obtaining an inventory rolling prediction result corresponding to a target period; on the premise of ensuring safe operation of the power plant, profit maximization can be realized, the accuracy of inventory rolling prediction is improved, the prediction time is saved, the inventory prediction precision is improved, the power generation efficiency is improved, and the economic benefit of power generation of the power plant is improved.
Description
technical field [0001] The invention relates to the technical field of coal-fired inventory prediction, in particular to a method and system for inventory rolling prediction. Background technique [0002] The strategic position of coal energy and the characteristics of my country's resources have determined that coal must be the main solution to China's energy problems; about 70% of my country's power supply comes from coal-fired thermal power generation. For a long time, coal-fired thermal power generation has dominated my country's power supply. In order to cope with the increasingly complex thermal power operating environment, power generation companies need to maximize benefits, that is, to pursue profit maximization, and need to consider collaboratively to ensure a balance between income and expenditure; while the expenditure of coal-fired power plants is mainly coal-fired procurement costs, If the fixed costs are evenly amortized to a monthly fixed value, then "the coal-...
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Login to View More IPC IPC(8): G06Q30/02G06Q10/08G06Q10/06G06Q50/06
CPCG06Q30/0202G06Q10/087G06Q50/06G06Q10/06312
Inventor 周一枝陈锋张耀斌杨天明蔡秀秀李艳毛国明王大伟梅领陆冰洁夏季彭鹏
Owner 华能(浙江)能源开发有限公司