The Research Library provides access to the foundation documents, validation studies, assessment examples, and advanced research that support the Predictive Feasibility Assessment (PFA) framework.
New visitors should begin with the Executive Guide and then continue through the Foundation Research documents before exploring the Validation Research, Assessment Cases, and Advanced Research sections.
Several documents in this library were originally published under TARH Energy, the research organization through which much of the underlying validation work was developed.
As a result, some PDFs, publications, LinkedIn references, and Zenodo records may still reference TARH Energy as the original source.
The Predictive Feasibility Assessment (PFA) framework is presented here as the dedicated methodology for evaluating predictive feasibility, deployment stability, and structural reproducibility in time-series systems.
These documents introduce the core concepts behind Predictive Feasibility Assessment and explain why predictive systems often fail before deployment begins.
Operational introduction to Predictive Feasibility Assessment.
Complete technical foundation of the PFA framework.
Visual walkthrough of how predictive structure emerges from data.
Why some signals fail regardless of model complexity.
The original research paper introducing predictive feasibility.
Research demonstrating predictive feasibility across multiple real-world domains.
125 pages of real battery degradation validation studies using the NASA PCoE Battery Dataset.
View ResearchCross-domain validation of recoverable and irrecoverable inferability.
View ResearchEmpirical validation of predictive feasibility using real telemetry signals.
View ResearchReal-world examples showing how predictive feasibility behaves across different systems.