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Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach

Although the latest energy-efficient buildings use a large number of sensors and measuring instruments to predict consumption more accurately, it is generally not possible to identify which data are the most valuable or key for analysis among the tens of thousands of data points. This study selected...

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Uloženo v:
Hlavní autoři: Sooyoun Cho, Jeehang Lee, Jumi Baek, Gi-Seok Kim, Seung-Bok Leigh
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2019-10-01
Edice:Energies
Témata:
feature selection
prediction of energy consumption
electricity consumption
machine learning
non-residential buildings
On-line přístup:https://www.mdpi.com/1996-1073/12/21/4046
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