User load short-term prediction method and device

A short-term forecasting and user-friendly technology, applied in forecasting, neural learning methods, data processing applications, etc., can solve the problems that it is difficult to guarantee high-precision and high-speed forecasting results at the same time, and achieve the effect of avoiding the reduction of forecasting accuracy and fast forecasting speed

Inactive Publication Date: 2020-01-10
GUANGDONG POWER GRID CO LTD +1
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AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present application provides a short-term user load forecasting method and device, which solves the problem that it is di

Method used

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  • User load short-term prediction method and device
  • User load short-term prediction method and device
  • User load short-term prediction method and device

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Effect test

Embodiment

[0125] The load data of Foshan City, Guangdong Province in 2017 was used for forecasting and method verification, and the four users with better power consumption stability, poor power consumption stability, low temperature sensitivity and high temperature sensitivity were identified by users. One is used as the forecast object, and August 1, 2017 is selected as the forecast date. The load data from August 1 to August 7 is forecasted, compared with the actual load data, and the average relative error of the seven-day forecast results is calculated. The results obtained are as follows shown in the table.

[0126] Table 1 Prediction case error table

[0127]

[0128] According to the above table, it can be found that the improved support vector machine algorithm predicts users with better power consumption stability with the smallest error. Users with low temperature sensitivity and users with high temperature sensitivity had the smallest prediction errors. On the other han...

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Abstract

The embodiment of the invention discloses a user load short-term prediction method and device, and the method comprises the steps: carrying out the classification of users, and dividing the users intofour types: good power utilization stability, poor power utilization stability, low temperature sensitivity and high temperature sensitivity according to the power utilization stability and temperature sensitivity of the users; predicting the four types of users by adopting a plurality of prediction models, and selecting the prediction model with the highest efficiency as a main prediction modelof the current type of users; and respectively carrying out load short-term prediction on the four types of users by adopting the corresponding main prediction models. According to the method, user classification is carried out according to user power utilization characteristics. Then, a load prediction algorithm is selected adapting to the user characteristics to predict. The situation that the prediction precision is reduced when a single load prediction method is applied to users with different characteristics is avoided. The method has the advantage of being high in prediction speed, and the problem that high-precision and high-speed prediction results are difficult to guarantee simultaneously for a large number of user loads in the current load prediction field is solved.

Description

technical field [0001] The present application relates to the technical field of electric load forecasting, in particular to a method and device for short-term forecasting of user load. Background technique [0002] For power market demand analysis, power system short-term load forecasting plays an important role. It not only provides guarantee for the safe and economical operation of the power system, but also is the basis for making dispatching plans, demand response mechanisms, and trading plans in the market environment. Accurate forecasting of power consumption can economically and reasonably arrange the start and stop of power grid internal units, maintain the safety and stability of power grid operation, facilitate the promotion of the market competition mechanism, and promote the further reform of the power market, thereby ensuring the normal life and production of the society Under the premise of these activities, promote the friendly interaction between the supply ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06K9/62G06N3/04G06N3/08
CPCG06Q10/04G06Q50/06G06N3/08G06N3/044G06N3/045G06F18/23213G06F18/241
Inventor 卢世祥林国营冯小峰阙华坤陈亮
Owner GUANGDONG POWER GRID CO LTD
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