Two-stage incidents prediction in heat supply systems using gradient boosting

Autor:	A A Akhvaev, N A Nosikovsky, V F Shurshev
Rok vydání:	2021
Předmět:	History Control theory Heat supply Environmental science Stage (hydrology) Gradient boosting Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2060:012011
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/2060/1/012011
Popis:	Information technologies usage in heat supply sphere has an important role to solve accidents problems in heat networks. Heat networks are accidents (incidents) sources. Accident situation predicting in heat supply systems will make it possible to rationally finance incidents prevention funds. AI is the tool for predicting accidents. Modern AI methods and algorithms allow to solve many technical systems problems. Research area has a data bank that allows to forecast heat networks accidents. Gradient boosting and production rules were chosen as basic methods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::67574acdaa7c49c38369984c5e739982 https://doi.org/10.1088/1742-6596/2060/1/012011 Zobrazit plný text záznamu