Method for determining typical daily load curve by using comprehensive energy system energy consumption big data
A technology that integrates energy systems and load curves, which is applied in the field of energy management to ensure accuracy, good clustering results, and low time complexity.
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[0028] In this embodiment, the raw data is further processed on the basis of the traditional energy consumption analysis of the integrated energy system. Using the SKLEARN module in PYTHON to program, cluster analysis and processing of energy use data, determine the optimal number of clusters and perform K-means clustering, so as to analyze the characteristics of energy use and determine the typical daily load curve.
[0029] Such as figure 1 The flow chart of the analysis of energy consumption characteristics and the implementation of the energy load forecasting method for the applicable integrated energy system is shown.
[0030] Standardize the 96-point data of the annual power load of a company or region in a certain year (take the power load as an example, the method is also applicable to cold and heat loads, and 96 points means dividing each day into 96 moments), And eliminate the abnormal data due to maintenance, meter failure and other reasons, and put the sorted data...
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