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
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[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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