Data-driven combining forecasting method for the net demand of power retailers in distribution network

2019 ◽  
Author(s):  
Zelong Lu ◽  
Tianhui Zhao ◽  
Yao Zhang ◽  
Jianxue Wang
Keyword(s):  
Distribution Network ◽  
Data Driven ◽  
Forecasting Method

Multi-Stage Distribution Network Space Load Forecasting Method Considering Demand Side Resources

2020 ◽  
Vol 15 (12) ◽  
pp. 1474-1481
Author(s):  
Zhidong Yang ◽  
Guangjiu Chen ◽  
Jianwu Ding ◽  
Xiaojing Kang ◽  
Meng Sheng
Keyword(s):  
Distribution Network ◽  
Load Forecasting ◽  
Processing System ◽  
Prediction Method ◽  
Operation Time ◽  
Specific Information ◽  
Demand Side ◽  
Multi Stage ◽  
Prediction Function ◽  
Forecasting Method

Under the background of the further development of electric power, this paper forecasts the spatial load of distribution network, and proposes a multi-stage spatial load forecasting method considering the demand side resources. Firstly, the load of distribution network is pretreated to improve the prediction function of the processing system, and the working efficiency of the whole system is enhanced to solve the maximum load value. Then, the different conditions of demand side resources are considered step by step to realize the fine analysis, confirm the saturation density value of load, understand the specific information of spatial load, master the predicted data status, and finally carry out the comprehensive prediction method research of spatial load to realize the prediction research of spatial load of distribution network. The experimental results show that the multi-stage spatial load forecasting method considering demand side resources has high accuracy and reliability, and its forecasting effect can improve the system forecasting performance to a certain extent, reduce unnecessary operation time, reduce energy and resource consumption, and promote the development of load forecasting research.

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