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A Cash Flow Prediction Model for Power Supply Enterprises Based on Power Changes

A model and electricity technology, applied in forecasting, data processing applications, instruments, etc., can solve problems that cannot reflect cash inflow, electricity sales, changes in electricity sales prices, and cannot achieve efficient integration of front-end businesses, etc.

Active Publication Date: 2021-04-09
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD SHAOXING POWER SUPPLY CO +2
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Problems solved by technology

[0005] The existing methods are all direct forecasting methods, that is, forecasting is based on the historical data of cash inflows from electricity sales. Although this method is simple, direct and easy to operate, it cannot reflect the relationship between cash inflows, electricity sales, and electricity price changes, and cannot realize Efficient integration with front-end business

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  • A Cash Flow Prediction Model for Power Supply Enterprises Based on Power Changes
  • A Cash Flow Prediction Model for Power Supply Enterprises Based on Power Changes
  • A Cash Flow Prediction Model for Power Supply Enterprises Based on Power Changes

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Embodiment Construction

[0024] In order to overcome the deficiencies of the above-mentioned prior art, the present invention provides a power supply enterprise cash flow forecasting model based on power fluctuations, including:

[0025] The power prediction module uses the point-by-point prediction method and uses the deep learning LSTM model for power prediction;

[0026] The electricity sales cash inflow calculation module displays the electricity sales forecast results according to the two dimensions of "electricity consumption classification" and "voltage level", and calculates the electricity sales cash inflow value according to the electricity sales price specifications of different industries and different voltage levels.

[0027] This method is an indirect forecasting method, that is, the electricity quantity is first predicted by the electricity quantity forecasting model, and then the sale electricity price is estimated according to the electricity price specification, and the two are multip...

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Abstract

The present invention discloses a power supply enterprise cash flow forecasting model based on changes in electricity quantity, which includes an electricity quantity forecasting module using a point-by-point forecasting method and a deep learning LSTM model for electricity quantity forecasting; an electricity sales cash inflow calculation module based on "electricity consumption classification" The two dimensions of "voltage level" and "voltage level" show the forecast results of electricity sales, and calculate the cash inflow value of electricity sales according to the electricity sales price specifications of different industries and different voltage levels. The invention applies the LSTM model to electric power forecasting, accurately predicts the electric power change trend of the whole industry in the future, and helps electric power enterprises grasp the changing trend of the electricity sales market and allocate electric power resources reasonably.

Description

technical field [0001] The invention relates to the technical field of electric power system analysis, in particular to a power supply enterprise cash flow prediction model based on electric quantity variation. Background technique [0002] The prediction of cash inflow has always been a difficult problem faced by all enterprises in the field of cash flow management. Major domestic and foreign enterprises and academia have done a lot of research on this, but they have not achieved good results. The main reason is that the cash inflow Strong randomness, high volatility, and many influencing factors. The cash flows of different companies in different industries have their own characteristics and great differences. It is difficult to find a unified forecasting method. [0003] Power supply enterprises are typical capital-intensive enterprises, and electricity sales business is their main business. In the current environment where electricity sales and corresponding sales reven...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06313G06Q50/06
Inventor 莫晓明蒋雪萍章剑光朱金尧王明慧周政刘燕范喜斌金绍君周安凌玲徐建涛杨轩徐晓华
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO LTD SHAOXING POWER SUPPLY CO
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