Work

Deep Causal Learning to Explain and Quantify the Geo-Tension’s Impact on Natural Gas Demand

Year: 2024

Type: conference-paper

Source: IEEE PES Innovative Smart Grid Technologies Europe

DOI: 10.1109/isgteurope62998.2024.10863241

Authors: Philipp K. Peter, Yulin Li, Ziyue Li, Wolfgang Ketter

Institutions: University of Cologne, Institute of Energy Economics at the University of Cologne

Language: English

Topic: Market Dynamics and Volatility

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

OpenAlex ID: W4407362877

FWCI: 2.226

Cites: 20

Cited by: 1

Related to: 10