Abstract
With the dramatic increase of energy demand and the continuous increase of power system operation pressure, higher requirements are put forward for the development of power grid planning and optimization operation. It is important for the refinement of distribution network planning to deeply extract the characteristics of user load. First, the process of load characteristic analysis method from the user level to the industry level is proposed, which achieves the division of electricity consumption patterns of various industries, thus building a panoramic portrait of industry electricity consumption behavior. Then, by expanding the information filled in by traditional customers, the feature vector of each user is extracted, and the users' industry electricity consumption patterns are used as the label. Therefore, a method for identifying the electricity consumption pattern of the customer based on the BB-stacking model fusion framework is proposed, which yields the preliminary forecast results of customer load based on the actual load accounting results of the customers. Finally, comparative simulations with different methods verify the effectiveness of the proposed algorithm, which can provide prominent guidance for the actual distribution network planning work.
Highlights
Development of Customer PortraitMore recently, with the gradual transformation of enterprises from product oriented to user oriented in the production, it is significant for formulating marketing strategies and product design to fully understand customers and their needs (Wu et al, 2020)
To make the pattern classification of electricity consumption more accurate, this paper proposes an appropriate expansion of the electricity consumption information reported by the customers
The customer load forecasting technology is based on the industry electricity consumption behavior portrait of the region
Summary
Development of Customer PortraitMore recently, with the gradual transformation of enterprises from product oriented to user oriented in the production, it is significant for formulating marketing strategies and product design to fully understand customers and their needs (Wu et al, 2020). The process of load characteristic analysis method from the user level to the industry level is proposed, which achieves the division of electricity consumption patterns of various industries, building a panoramic portrait of industry electricity consumption behavior. Considering the actual needs of the power grid, it is of great significance to extract the long-term load development law of various electricity consumption patterns in the industry.
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