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Power consumption prediction method and prediction system based on Koalas

A forecasting method and power consumption technology, applied in forecasting, information technology support systems, data processing applications, etc., can solve problems such as insufficient computing power and few machine learning algorithms, and achieve the effect of improving convenience and construction speed

Pending Publication Date: 2022-05-27
XINGTAI POWER SUPPLY +3
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Problems solved by technology

[0004] Power grid data has the characteristics of large data volume, variety, and fast update speed. Therefore, building a machine learning model based on power grid data uses the traditional Pandas machine learning library, which has the problem of insufficient computing power, and uses Spark to build and there are not many machine learning algorithms. Case

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  • Power consumption prediction method and prediction system based on Koalas
  • Power consumption prediction method and prediction system based on Koalas
  • Power consumption prediction method and prediction system based on Koalas

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Embodiment Construction

[0027] The technical solutions of the present invention will be further described below with reference to the accompanying drawings and through specific embodiments.

[0028] Among them, the accompanying drawings are only used for exemplary description, and they are only schematic diagrams, not physical drawings, and should not be construed as restrictions on this patent; in order to better illustrate the embodiments of the present invention, some parts of the accompanying drawings will be omitted, The enlargement or reduction does not represent the size of the actual product; it is understandable to those skilled in the art that some well-known structures and their descriptions in the accompanying drawings may be omitted.

[0029] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left" and ...

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Abstract

The invention discloses an electricity consumption prediction method and prediction system based on Koalas, and the method comprises the steps: S1, constructing the mapping between the DataFrame of Pandaas and the DataFrame of Spark through Koalas, so as to translate the API of the Pandaas into the API of the DataFrame of Spark; s2, the Spark applies a machine learning algorithm in a Pandas library to construct a machine learning model; s3, dividing historical power grid data into a training set and a test set, inputting the training set and the test set into the machine learning model for model optimization training, and finally outputting an electricity consumption prediction model; and S4, the electricity consumption prediction model predicts and outputs an electricity consumption prediction result according to the input power grid data. According to the method, the Koalas is introduced as a bridge to construct the mapping between the Pandas and the Spark to construct the electricity consumption prediction model, so that the electricity consumption prediction model not only can use a rich Pandas algorithm library, but also can provide computing power by using a distributed computing function of the Spark, and the convenience and the speed of construction of the electricity consumption prediction model are improved.

Description

technical field [0001] The invention relates to the technical field of electricity consumption forecasting, in particular to a Koalas-based electricity consumption forecasting method and a forecasting system. Background technique [0002] The Pandas library is a free, open source third-party Python library and one of the indispensable tools for Python data analysis. It provides high-performance and easy-to-use data structures for Python data analysis, namely Series (one-dimensional array structure) and DataFrame (two-dimensional data structure). The Pandas library is developed based on the Python Numpy library, so it can be used with Python's scientific computing library. Pandas provides two data structures, Series and DataFrame, which greatly enhance the data analysis capabilities of Pandas. [0003] Spark, as the top open source project of Apache, is a fast, general-purpose large-scale data processing engine, similar to Hadoop's MapReduce computing framework. Advantages...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N20/00
CPCG06Q10/04G06Q50/06G06N20/00Y04S10/50
Inventor 韩胜峰靳伟王文宾李会彬郑永强李征徐华博唐超谷莹韩天华白莉妍卫丹董小虎韩秀娟范曾郭彬张俊钟成路鹏程李彦龙李树荣巩固孙冰华孙强贾军虎谢雷
Owner XINGTAI POWER SUPPLY