Project Details
Title:
Multi-Temporal Hierarchical Natural Gas Demand Forecasting Framework for Power Generation Infrastructure: Integrating Variational Mode Decomposition with Deep Learning
Principal Investigators:
Pan Lu and Xinyi Yang
University:
Status:
Active
Type:
Research
Year:
2026
Grant #:
69A3552348308 (IIJA)
Project #:
CTIPS-073
USDOT Strategic Goal:
Economic Strength and Global Competitiveness
UTC Project Information Abstract
This seed project focuses on developing accurate, multi-scale prediction of natural gas demand for power generation—at the generator unit, power plant, and aggregated city and state levels. Its importance lies in both technical innovation and strategic national relevance.
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