scholarly journals Short-term Traffic Flow Forecasting based on Two-tier K-nearest Neighbor Algorithm

2013 ◽  
Vol 96 ◽  
pp. 2529-2536 ◽  
Author(s):  
Hou Xiaoyu ◽  
Wang Yisheng ◽  
Hu Siyu
Keyword(s):  
Traffic Flow ◽  
Nearest Neighbor ◽  
K Nearest Neighbor ◽  
Short Term ◽  
Nearest Neighbor Algorithm ◽  
Traffic Flow Forecasting ◽  
K Nearest Neighbor Algorithm

scholarly journals Application of the Weighted K-Nearest Neighbor Algorithm for Short-Term Load Forecasting

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 916 ◽  
Author(s):  
Guo-Feng Fan ◽  
Yan-Hui Guo ◽  
Jia-Mei Zheng ◽  
Wei-Chiang Hong
Keyword(s):  
Nearest Neighbor ◽  
Load Forecasting ◽  
Forecasting Model ◽  
K Nearest Neighbor ◽  
Short Term ◽  
Nearest Neighbor Algorithm ◽  
Comparison Results ◽  
Power Load ◽  
Short Term Load Forecasting ◽  
K Nearest Neighbor Algorithm

In this paper, the historical power load data from the National Electricity Market (Australia) is used to analyze the characteristics and regulations of electricity (the average value of every eight hours). Then, considering the inverse of Euclidean distance as the weight, this paper proposes a novel short-term load forecasting model based on the weighted k-nearest neighbor algorithm to receive higher satisfied accuracy. In addition, the forecasting errors are compared with the back-propagation neural network model and the autoregressive moving average model. The comparison results demonstrate that the proposed forecasting model could reflect variation trend and has good fitting ability in short-term load forecasting.

scholarly journals A Sample-Rebalanced Outlier-Rejected $k$ -Nearest Neighbor Regression Model for Short-Term Traffic Flow Forecasting

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 22686-22696 ◽  
Author(s):  
Lingru Cai ◽  
Yidan Yu ◽  
Shuangyi Zhang ◽  
Youyi Song ◽  
Zhi Xiong ◽  
...  
Keyword(s):  
Regression Model ◽  
Traffic Flow ◽  
Nearest Neighbor ◽  
K Nearest Neighbor ◽  
Short Term ◽  
Traffic Flow Forecasting
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