Forecasting oil, coal, and natural gas prices in the pre-and post-COVID scenarios: contextual evidence from India using time series forecasting tools
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 …
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 …
supply, energy trading, economic effects and environmental sustainability. NGC forecasts …
Banana Peel Derived Chitosan-Grafted Biocomposite for Recovery of NH4+ and PO43–
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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
Excessive dependence on fossil fuels has precipitated various challenges, including
Greenhouse Gas (GHG) emissions, health hazards, and the depletion of natural resources …
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 …
approach (3R) in a hard situation for the first time. A robust stochastic LASSO regression is …