Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6735175 | Energy and Buildings | 2012 | 11 Pages |
Abstract
⸠We present a scalable methodology to support large scale investments under uncertainty. ⸠The methodology is based on Bayesian calibration of normative energy models. ⸠We demonstrate that calibrated normative models can correctly evaluate energy retrofit options. ⸠We demonstrate that the methodology can support risk-conscious decision-making.
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Y. Heo, R. Choudhary, G.A. Augenbroe,