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

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

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 nove...

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Bibliographic Details
Main Authors: Guo-Feng Fan, Yan-Hui Guo, Jia-Mei Zheng, Wei-Chiang Hong
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
short-term load forecasting
weighted k-nearest neighbor (W-K-NN) algorithm
comparative analysis
Online Access:http://www.mdpi.com/1996-1073/12/5/916

Internet

http://www.mdpi.com/1996-1073/12/5/916

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