Unlock instant, AI-driven research and patent intelligence for your innovation.
Method and device for forecasting material demand for power distribution network construction
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A technology for demand forecasting and power distribution network, applied in the field of forecasting
Active Publication Date: 2016-03-09
GUANGDONG POWER GRID CO LTD
View PDF2 Cites 1 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0006] Based on this, it is necessary to provide a method and device for forecasting the demand of power distribution network construction materials for the problem of realizing simultaneous forecasting of multiple materials
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0024] see figure 1 , is a schematic flowchart of Embodiment 1 of the method for forecasting demand for materials for power distribution network construction according to the present invention, including steps:
[0025] Step S101: Obtain the parameters of the preset attributes of historical items and the material usage of various historical items, and standardize the material usage of various historical items within the preset range;
[0026] Step S102: According to the parameters of the preset attributes of the historical items, the standardized material usage of various historical items and the number of preset hidden nodes, the extreme learning machine is used to construct the prediction model, and the hidden node weight parameter matrix is determined according to the prediction model;
[0027] Step S103: Obtain the parameters of the preset attributes of the project to be tested, and use the prediction model to determine the predicted value of the material usage correspon...
Embodiment 2
[0046] see figure 2 , is a schematic flow diagram of Embodiment 2 of the method for forecasting demand for materials for power distribution network construction according to the present invention, including steps:
[0047] Step S201: Obtain the parameters of the preset attributes of historical items and the material usage of various historical items, and standardize the material usage of various historical items within a preset range;
[0048] Step S202: According to the parameters of the preset attributes of the historical items, the standardized material usage of various historical items, and the number of preset hidden nodes, an incremental extreme learning machine is used to build a prediction model, and the weight parameters of hidden nodes are determined according to the prediction model matrix;
[0049] Step S203: Obtain the parameters of the preset attributes of the project to be tested, and use the prediction model to determine the predicted value of the material us...
Embodiment 3
[0083] see image 3 , is a schematic flowchart of Embodiment 3 of the method for forecasting demand for materials for power distribution network construction according to the present invention, including steps:
[0084] Step S301: Obtain the parameters of the preset attributes of the historical items and the material usage of various historical items, use the clustering algorithm to group the historical items, determine the cluster group, and use the keyword frequency analysis method for the cluster group to determine the item type attribute, Standardize the amount of materials used for various historical projects within a preset range;
[0085] Step S302: According to the parameters of the preset attributes of historical projects, the standardized material usage of various historical projects, the number of preset hidden nodes and project type attributes, use extreme learning machine to build a prediction model, and determine the weight parameters of hidden nodes according to...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
PUM
Login to View More
Abstract
The invention relates to a prediction method for material requirements for construction of a power distribution network. The prediction method comprises the following steps of: acquiring parameters of preset attributes of historical items and using quantity of materials of the various historical items, and standardizing the using quality of the materials of the various historical items into a preset range; adopting an extreme learning mechanism to construct a prediction model according to the parameters of the preset attributes of the historical items, the standardized using quality of the materials of the various historical items and a preset number of hidden nodes, and determining a weight parameter matrix of the hidden nodes according to the prediction model; and acquiring the parameters of the preset attributes of the item to be predicted, adopting the prediction model to determine a predicted value corresponding to the using quality of the materials of the item to be predicted according to the weight parameter matrix of the hidden nodes and the parameters of the preset attributes of the item to be predicted, reducing the predicted value according to the proportion corresponding to standardization, and determining the using quality of the materials, which corresponds to the item to be predicted. A corresponding device is provided according to the method. According to the scheme, the using quantity of the various materials can be simultaneously predicted, the model is simple, and relevance is also considered.
Description
technical field [0001] The invention relates to a forecasting method, in particular to a forecasting method and device for materials demand for power distribution network construction. Background technique [0002] As the third profit source of modern enterprises, material management has increasingly become an important part of enterprise strategy, and an important force to improve enterprise operating efficiency and enhance core competitiveness. For material-intensive enterprises (such as power companies), the importance and urgency of material management are even more prominent. Material demand forecasting is based on historical material use data, using data mining methods to discover the inherent laws of material use, guide enterprises in the future material input and use (such as procurement, logistics, storage, and use, etc.), reduce manpower, material resources, and financial resources It is an important method to improve the efficiency of enterprises, and it is one o...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to View More 
Login to View More