2020 55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST) 2020
DOI: 10.1109/icest49890.2020.9232768
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K-Nearest Neighbor Regression for Forecasting Electricity Demand

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Cited by 11 publications
(2 citation statements)
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“…The KNN algorithm is a non-parametric method used for regression (and classification). It predicts the value of a new point based on the 'K' nearest points in the training dataset [28,29]. The output is typically the average of the values of its nearest neighbors.…”
Section: Methodsmentioning
confidence: 99%
“…The KNN algorithm is a non-parametric method used for regression (and classification). It predicts the value of a new point based on the 'K' nearest points in the training dataset [28,29]. The output is typically the average of the values of its nearest neighbors.…”
Section: Methodsmentioning
confidence: 99%
“…The KNN algorithm assumes that similar features characterize the points that are near each other. An example of using KNN in short-term load forecasting can be found in [17,18]. Decision Tree (DT) and its derivatives form an important class of ML algorithms.…”
Section: Machine Learning Techniquesmentioning
confidence: 99%