Intelligent energy system data processing method
The invention relates to the technical field of data preprocessing, in particular to an energy system data intelligent processing method. According to the method, iteration segmentation simplification processing is carried out on each kind of energy time sequence monitoring data, and energy optimiza...
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| creator | FENG DONGBO CHANG LIANG CAI JING WANG ZEHUA LYU CHANGHUI YANG FAN CAO HUIXIN YANG HONGLIU GONG FUXING XU ZIWEN GU ANWEI YU PEIXU ZHANG XUGUANG WU SIXIAN CHAN PUI-KWONG |
| description | The invention relates to the technical field of data preprocessing, in particular to an energy system data intelligent processing method. According to the method, iteration segmentation simplification processing is carried out on each kind of energy time sequence monitoring data, and energy optimization monitoring data of each kind of energy system data is obtained; in the process of carrying out iterative segmentation simplification processing on each type of energy time sequence monitoring data, obtaining a fitting optimization degree value of the to-be-fitted interval data according to the random volatility of two endpoint data of the to-be-fitted interval data and the fluctuation intensity value of the to-be-fitted interval data; according to the fitting optimization degree value and the fitting straight line, obtaining an adjusted fitting straight line of the interval data to be fitted; and finally intelligent processing is carried out. According to the method, the reasonability of fitting straight line |
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According to the method, iteration segmentation simplification processing is carried out on each kind of energy time sequence monitoring data, and energy optimization monitoring data of each kind of energy system data is obtained; in the process of carrying out iterative segmentation simplification processing on each type of energy time sequence monitoring data, obtaining a fitting optimization degree value of the to-be-fitted interval data according to the random volatility of two endpoint data of the to-be-fitted interval data and the fluctuation intensity value of the to-be-fitted interval data; according to the fitting optimization degree value and the fitting straight line, obtaining an adjusted fitting straight line of the interval data to be fitted; and finally intelligent processing is carried out. 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According to the method, iteration segmentation simplification processing is carried out on each kind of energy time sequence monitoring data, and energy optimization monitoring data of each kind of energy system data is obtained; in the process of carrying out iterative segmentation simplification processing on each type of energy time sequence monitoring data, obtaining a fitting optimization degree value of the to-be-fitted interval data according to the random volatility of two endpoint data of the to-be-fitted interval data and the fluctuation intensity value of the to-be-fitted interval data; according to the fitting optimization degree value and the fitting straight line, obtaining an adjusted fitting straight line of the interval data to be fitted; and finally intelligent processing is carried out. According to the method, the reasonability of fitting straight line</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Intelligent energy system data processing method |
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