A short-term load forecasting method for household users based on load decomposition technology
A technology for short-term load forecasting and home users, applied in the field of power data decomposition and detection, can solve the problem of insufficient accuracy and achieve the effect of improving feasibility and cost-effectiveness
Active Publication Date: 2022-07-01
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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[0005] The purpose of the present invention is to provide a short-term load forecasting method for household users based on load decomposition technology, thereby overcoming the disadvantage that the accuracy of the existing electric load forecasting is not high enough
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[0064] The technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.
[0065] like figure 1 As shown, the short-term load prediction method for household users based on load decomposition technology provided by the present invention obtains equipment operation rules based on non-intrusive power load monitoring technology, digitizes the operation rules and inputs them into a short-term load prediction model for prediction, including the following steps :
[0066] S11. According to the working principle of electrical load, the electrica...
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The invention discloses a short-term load prediction method for household users based on load decomposition technology, which relates to the technical field of decomposition and detection of power data. Electrical equipment, decompose the electrical equipment to obtain the operating status of the electrical equipment; then convert the operating status of the electrical equipment into data information, and then convert the operating status of the electrical equipment into the data information, and compare it with the original load The time series is input into the training of immune neurons together to obtain the electricity value used by electric equipment at a certain time in the future, so as to predict the electricity consumption of household equipment. The present invention can ensure that the prediction error is within an acceptable range, and make the improvement of the prediction performance more feasible and cost-effective.
Description
technical field [0001] The invention relates to the technical field of decomposition and detection of power data, in particular to a short-term load prediction method for household users based on the load decomposition technology. Background technique [0002] Non-intrusive power load monitoring technology is a brand-new power load information collection and analysis technology. This technology can know the electricity consumption status information and electricity consumption rules of each or each type of electrical equipment within the total load through the measurement and real-time analysis of the single point total amount of electrical information of the power load, without the need for traditional monitoring technology. Equip each interested electrical equipment with a sensor with digital communication function. Only by measuring and analyzing the voltage, current and power information at the power load inlet, the real-time power of different electrical equipment insid...
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IPC IPC(8): H02J3/00H02J3/14
CPCH02J3/00H02J3/14Y04S20/222Y02B70/3225
Inventor 韦杏秋蒋雯倩谢雄威杨舟李刚李金瑾梁捷卿柏元唐利涛林秀清陈珏羽
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD