Forecasting oil, coal, and natural gas prices in the pre-and post-COVID scenarios: contextual evidence from India using time series forecasting tools

MS Alam, M Murshed, P Manigandan, D Pachiyappan… - Resources Policy, 2023 - Elsevier
Stock market price prediction is considered a critically important issue for designing future
investments and consumption plans. Besides, given the fact that the COVID-19 pandemic …

Application of forecasting strategies and techniques to natural gas consumption: A comprehensive review and comparative study

N Tian, B Shao, G Bian, H Zeng, X Li, W Zhao - Engineering Applications of …, 2024 - Elsevier
Accurate forecasting of natural gas consumption (NGC) plays an important role in energy
supply, energy trading, economic effects and environmental sustainability. NGC forecasts …

Banana Peel Derived Chitosan-Grafted Biocomposite for Recovery of NH4+ and PO43–

H Mondal, B Datta - ACS omega, 2023 - ACS Publications
Biomass-derived adsorbents afford accessible and inexpensive harvesting of nitrogen and
phosphorus from wastewater sources. Human urine is widely accepted as a rich source of …

Comparative analysis of deep learning and classical time series methods to forecast natural gas demand during COVID-19 pandemic

Z Ceylan - Energy Sources, Part B: Economics, Planning, and …, 2023 - Taylor & Francis
The lockdown measures implemented to contain the COVID-19 pandemic have had a
considerable effect on the consumption of natural gas, which is closely linked to the …

Data-driven multi-step energy consumption forecasting with complex seasonality patterns and exogenous variables: Model accuracy assessment in change point …

R Svoboda, V Kotik, J Platos - Applied Soft Computing, 2024 - Elsevier
Energy forecasting tools became a significant scope of application for time series modeling
due to the specific challenges in energy trading—the forecast of consumption for the whole …

Three-way catalyst modeling and fuel switch optimization of a natural gas bi-fuel-powered vehicle

MM Teymoori, I Chitsaz, A Zarei - Fuel, 2023 - Elsevier
In contemporary societies, improving engine efficiency and emission are critical targets for
engine designers due to the increasing overwhelming popularity of electric powertrains …

A natural gas consumption forecasting system for continual learning scenarios based on Hoeffding trees with change point detection mechanism

R Svoboda, S Basterrech, J Kozal, J Platoš… - Knowledge-Based …, 2024 - Elsevier
Forecasting natural gas consumption, considering seasonality and trends, is crucial in
planning its supply and consumption and optimizing the cost of obtaining it, mainly by …

Tab2vox: CNN-based multivariate multilevel demand forecasting framework by tabular-to-voxel image conversion

E Lee, M Nam, H Lee - Sustainability, 2022 - mdpi.com
Since demand is influenced by a wide variety of causes, it is necessary to decompose the
explanatory variables into different levels, extract their relationships effectively, and reflect …

[HTML][HTML] Compressed Natural Gas (CNG) as a fuel and the associated risks: A Quantitative Analysis in the scenario of a Developing Country

Y Ali, A Younus, AU Khan, AH Alrefai - Journal of Safety Science and …, 2024 - Elsevier
Excessive dependence on fossil fuels has precipitated various challenges, including
Greenhouse Gas (GHG) emissions, health hazards, and the depletion of natural resources …

A robust, resilience machine learning with risk approach: a case study of gas consumption

R Lotfi, M Changizi, P MohajerAnsari… - Annals of Operations …, 2024 - Springer
This research suggests a novel Robust, Resilient machine learning that focuses on the Risk
approach (3R) in a hard situation for the first time. A robust stochastic LASSO regression is …