Annual Industrial and Commercial Heat Load Profiles: Modeling Based on k-Means Clustering and Regression Analysis

Autor:	Jesper, Mateo, Pag, Felix, Vajen, Klaus, Jordan, Ulrike
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Thermische Belastung Handel Annual heat load profiles Correlations Standard loaf profiles k-Means-Algorithmus Commerce Wirtschaft k-Means clustering Engineering (General). Civil engineering (General) Profil Lastprofil Standard load profiles Wärmebedarf Industrie Industry TA1-2040 Korrelation
Zdroj:	Energy Conversion and Management: X, Vol 10, Iss, Pp 100085-(2021)
ISSN:	2590-1745
Popis:	This is the preprint version of the article "Annual industrial and commercial heat load profiles: modeling based on k-Means clustering and regression analysis". Date: 19/03/2021. This work was supported by the German Federal Ministry for Economic Affairs and Energy within the framework of the 7th Energy Research Program [project: “AnanaS”, grant number 03ETW014A]. The authors would like to express their sincere thanks to the ministry for the financial support and to the involved utilities for providing natural gas load profiles.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39380121721af84855f7daa7542a2b42 http://www.sciencedirect.com/science/article/pii/S2590174521000106 Zobrazit plný text záznamu