Abstract
The energy Internet system absorbs a large number of distributed energy collection and storage devices, integrates energy production, transmission and consumption, meets various energy needs such as electricity, cold, heat and gas in the system, makes efficient use of various grades of energy, realizes the efficient utilization of energy and the compatibility of renewable energy, and reduces the system risk of energy. At present, the lack of theoretical research on energy consumption model leads to a certain blindness in the development of energy conservation. Strengthening energy consumption benchmarking management is helpful to quantitatively analyze energy consumption parameters. However, it is difficult to form systematic research on energy consumption and tap the energy-saving potential within the system only based on benchmarking management. Through the research of this paper, the energy consumption data information of energy consumption system can be processed, analyzed and optimized efficiently, the key energy consumption influencing factors can be extracted, the mathematical model can be built, the model base can be provided for the energy consumption analysis of typical energy consumption system, and the general energy consumption evaluation and energy-saving diagnosis tools and systems can be developed as the information processing tools and credentials of energy-saving diagnosis data, Provide scientific guidance for the rational application of power grid energy-saving technology and equipment, and effectively promote the improvement of power grid energy efficiency.
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