Real-time energy consumption monitoring method for high-energy-consumption enterprise based on user side
A technology for enterprise energy consumption and real-time monitoring, applied to instruments, character and pattern recognition, computer components, etc., can solve the problems that there is no fast and effective method for abnormal early warning and processing
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[0035] The results of applying the DBSCAN algorithm to cluster the historical data of the enterprise in the summer of 2016 are as follows: figure 2 shown. From the figure, it can be seen that there are three patterns of energy consumption in the enterprise in summer. Through investigation and analysis, these three energy consumption patterns correspond to "working hours on weekdays", "working hours on holidays, off-get off work hours on weekdays" and "off-get off work hours on holidays". energy use during the time period. Since a complex building closes at 10 pm and is in use on holidays, there are also higher energy consumption values every night and on holidays.
[0036] After identifying the energy consumption pattern of the building, in order to analyze the discriminant conditions of the energy consumption pattern, it is necessary to construct two new attributes: energy consumption label and whether it is a weekend. Fill in the data cluster results obtained in section ...
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