Predicting Diverse Behaviors of Occupants When Turning Air Conditioners on/off in Residential Buildings: An Extreme Gradient Boosting Approach

Autor: Jiajun Lyu, Aya Hagishima

Publikováno v: Buildings, Vol 13, Iss 2, p 521 (2023)

Occupant behavior (OB) has a significant impact on household air-conditioner (AC) energy use. In recent years, bottom-up simulation coupled with stochastic OB modeling has been intensively developed for estimating residential AC consumption. However,

Externí odkaz: https://doaj.org/article/19d32880af3b47f7b12fa1243fe7bc45

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Дослідження і прогнозування успішності стартапів платформи kickstarter

Autor: Kuznietsova, Nataliia V., Grushko, Yaroslav V.

Publikováno v: Системні дослідження та інформаційні технології; № 3 (2019); 18-32
Системные исследования и информационные технологии; № 3 (2019); 18-32
System research and information technologies; № 3 (2019); 18-32

The main purpose of the study, carried out in the work, was to identify and predict the success of new start-up projects. The task of predicting the success of one or another startup was solved, various methods of data analysis, such as methods of ex

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::411973682aa9e9228158745765809194
http://journal.iasa.kpi.ua/article/view/183721