Using synthetic data to evaluate multiple regression and principal component analyses for statistical modeling of daily building energy consumption
- 1 January 1994
- journal article
- Published by Elsevier BV in Energy and Buildings
- Vol. 21 (1), 35-44
- https://doi.org/10.1016/0378-7788(94)90014-0
Abstract
No abstract availableThis publication has 4 references indexed in Scilit:
- A Change-Point Principal Component Analysis (CP/PCA) Method for Predicting Energy Usage in Commercial Buildings: The PCA ModelJournal of Solar Energy Engineering, 1993
- Use of Simplified System Models to Measure Retrofit Energy SavingsJournal of Solar Energy Engineering, 1993
- Testing the accuracy of a measurement-based building energy model with synthetic dataEnergy and Buildings, 1988
- Parameter Estimation in Buildings: Methods for Dynamic Analysis of Measured Energy UseJournal of Solar Energy Engineering, 1988