Building Power Demand Forecasting Using K-Nearest Neighbors Model - Initial Approach

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Original language	English
Title of host publication	Proceedings of IEEE PES APPEEC 2016
Pages	1055-1060
Number of pages	6
Publication status	Published - 2016
Event	IEEE PES Asia-Pacific Power and Energy Engineering Conference 2016 (IEEE PES APPEEC 2016) - Duration: 25 Oct 2016 → 28 Oct 2016

Conference	IEEE PES Asia-Pacific Power and Energy Engineering Conference 2016 (IEEE PES APPEEC 2016)
Period	25/10/16 → 28/10/16

Research Field

@inproceedings{6474333b4d7a40dc84300ea0f7c01f95,

title = "Building Power Demand Forecasting Using K-Nearest Neighbors Model - Initial Approach",

author = "Oleg Valgaev and Friederich Kupzog",

year = "2016",

language = "English",

isbn = "978-1-5090-5418-3",

pages = "1055--1060",

booktitle = "Proceedings of IEEE PES APPEEC 2016",

note = "IEEE PES Asia-Pacific Power and Energy Engineering Conference 2016 (IEEE PES APPEEC 2016) ; Conference date: 25-10-2016 Through 28-10-2016",

}

TY - GEN

T1 - Building Power Demand Forecasting Using K-Nearest Neighbors Model - Initial Approach

AU - Kupzog, Friederich

A2 - Valgaev, Oleg

PY - 2016

Y1 - 2016

M3 - Conference Proceedings with Oral Presentation

SN - 978-1-5090-5418-3

SP - 1055

EP - 1060

BT - Proceedings of IEEE PES APPEEC 2016

T2 - IEEE PES Asia-Pacific Power and Energy Engineering Conference 2016 (IEEE PES APPEEC 2016)

Y2 - 25 October 2016 through 28 October 2016

ER -