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Time Series Forecasting with LightGBM under Data Scarcity: An Application to Romania’s Inland Gas Consumption Cover

Time Series Forecasting with LightGBM under Data Scarcity: An Application to Romania’s Inland Gas Consumption

Proceedings of the International Conference on Business Excellence
Volume 19 (2025): Issue 1 (July 2025)
By: Robert-Stefan Constantin,  Adriana Anamaria Davidescu and  Eduard Mihai Manta  
Open Access
|Jul 2025

Authors

Robert-Stefan Constantin

constantinrobert21@stud.ase.ro

Bucharest University of Economic Studies, Bucharest, Romania

Adriana Anamaria Davidescu

adriana.alexandru@csie.ase.ro

Bucharest University of Economic Studies, Bucharest, Romania

Eduard Mihai Manta

eduard.manta@csie.ase.ro

Bucharest University of Economic Studies, Bucharest, Romania
DOI: https://doi.org/10.2478/picbe-2025-0118 | Journal eISSN: 2558-9652
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Language: English
Page range: 1518 - 1531
Published on: Jul 24, 2025
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
gradient boosting framework,
energy consumption,
LightGBM,
machine learning,
forecasting
Related subjects:
Business and economics,
Political economics,
Political economics, other,
Business management,
Business management, other,
Industrial chemistry,
Energy harvesting and conversion

© 2025 Robert-Stefan Constantin, Adriana Anamaria Davidescu, Eduard Mihai Manta, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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