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Author/Affiliation: Nong YeOpen AccessArticle
8 Pages, 872 KB 
Modeling an Energy Consumption System with Partial-Value Data Associations
Abstract:
Many existing system modeling techniques based on statistical modeling, data mining and machine learning have a shortcoming of building variable relations for the full ranges of variable values using one model, although certain variable relations may hold for only some but not all variable values. This shortcoming is overcome by the Partial-Value Association Discovery (PVAD)…
Read More(This article belongs to the SP6 (Special Issue on Recent Advances in Engineering Systems 2018-19) & Section Construction & Building Technology (CBT))