About this document
Inventory Modeling for Missing Data by zvonimir.lipsinic is a document available to read on EtoBox.
This research article reviews inventory modeling methods for addressing missing data in life cycle assessment (LCA), highlighting the challenges and strategies such as proxy selection and data creation. The authors categorize 12 common methods into data-driven and mechanistic approaches, evaluating their features, applications, assumptions, and limitations. The study aims to guide LCA practitioners in selecting appropriate methods to fill data gaps while acknowledging the uncertainties involved in these mod
- Author
- zvonimir.lipsinic
- Language
- EN