Building power demand forecasting using K-nearest neighbors model - initial approach

2016 ◽  
Author(s):  
Oleg Valgaev ◽  
Friederich Kupzog
Keyword(s):  
Demand Forecasting ◽  
Nearest Neighbors ◽  
Power Demand ◽  
K Nearest Neighbors ◽  
Initial Approach

Net Demand Forecasting by Taguchi's T Method in Small or Middle Power Demand with PVs

2017 ◽  
Vol 137 (8) ◽  
pp. 1043-1051 ◽  
Author(s):  
Yusuke Morimoto ◽  
Shintaro Negishi ◽  
Satoshi Takayama ◽  
Atsushi Ishigame
Keyword(s):  
Demand Forecasting ◽  
Power Demand ◽  
Middle Power

scholarly journals Tropical Balls and Its Applications to K Nearest Neighbor over the Space of Phylogenetic Trees

Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 779
Author(s):  
Ruriko Yoshida
Keyword(s):  
Supervised Learning ◽  
Phylogenetic Trees ◽  
Nearest Neighbor ◽  
Nearest Neighbors ◽  
High Dimensional ◽  
Learning Method ◽  
Dimensional Vector ◽  
K Nearest Neighbor ◽  
K Nearest Neighbors

A tropical ball is a ball defined by the tropical metric over the tropical projective torus. In this paper we show several properties of tropical balls over the tropical projective torus and also over the space of phylogenetic trees with a given set of leaf labels. Then we discuss its application to the K nearest neighbors (KNN) algorithm, a supervised learning method used to classify a high-dimensional vector into given categories by looking at a ball centered at the vector, which contains K vectors in the space.

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