Analyzing the Levelized Cost of Hydrogen: Leveraging Machine Learning for Evaluating Production Pathways
Year: 2024
Type: conference-paper
DOI: 10.2118/222850-ms
Authors: C. G. Ezechi, L. K Sekar, E. R. Okoroafor
Institution: Texas A&M University
Language: English
Subfield: Energy Engineering and Power Technology
Field: Energy
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4404013926