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Industry 5.0 and triple bottom line approach in supply chain management: the state-of-the-art
Digital technologies could be key to solving several open issues in the context of supply
chain management (SCM) and sustainable development. The purpose of this article is to …
chain management (SCM) and sustainable development. The purpose of this article is to …
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 …
A graph neural network (GNN) method for assigning gas calorific values to natural gas pipeline networks
Z Yang, Z Liu, J Zhou, C Song, Q **ang, Q He, J Hu… - Energy, 2023 - Elsevier
Calorific value metering offers unique advantages in the natural gas industry. Based on a
graph neural network (GNN), this study proposes a method for metering the gas calorific …
graph neural network (GNN), this study proposes a method for metering the gas calorific …
[HTML][HTML] Natural gas consumption forecasting using a novel two-stage model based on improved sparrow search algorithm
W Qiao, Q Ma, Y Yang, H **, N Huang, X Yang… - Journal of Pipeline …, 2025 - Elsevier
The foundation of natural gas intelligent scheduling is the accurate prediction of natural gas
consumption (NGC). However, its volatility, brings difficulties and challenges in accurately …
consumption (NGC). However, its volatility, brings difficulties and challenges in accurately …
Urban natural gas consumption forecasting by novel wavelet-kernelized grey system model
Natural gas is playing a key role in the Carbon Neutral path, which is clean and abundant.
However it is difficult to collect sufficient data of urban natural gas consumption in China …
However it is difficult to collect sufficient data of urban natural gas consumption in China …
[HTML][HTML] Demand forecasting of spare parts with regression and machine learning methods: Application in a bus fleet
Forecasting the demand of spare parts of vehicles in bus fleets is a vital issue. Vehicles must
operate effectively and must have a high availability rate in the fleet. In maintenance …
operate effectively and must have a high availability rate in the fleet. In maintenance …
Future availability of natural gas: Can it support sustainable energy transition?
Mitigating the adverse effects of global climate change and limiting global warming to 1.5° C
requires a complete transition from fossil fuels to renewable energy sources. Despite …
requires a complete transition from fossil fuels to renewable energy sources. Despite …
Forecast of natural gas consumption in the Asia-Pacific region using a fractional-order incomplete gamma grey model
P **ong, K Li, H Shu, J Wang - Energy, 2021 - Elsevier
To forecast natural gas consumption more accurately, to clearly understand the future supply
situation, and to optimize the allocation of resources, a new fractional-order accumulation …
situation, and to optimize the allocation of resources, a new fractional-order accumulation …
Rapid transient operation control method of natural gas pipeline networks based on user demand prediction
K Wen, J Jiao, K Zhao, X Yin, Y Liu, J Gong, C Li… - Energy, 2023 - Elsevier
The natural gas pipeline networks play a vital role in Integrated Energy System (IES).
Simultaneously, with the increase in the number and types of users, the operational model …
Simultaneously, with the increase in the number and types of users, the operational model …
Comparative study on monthly natural gas vehicle fuel consumption and industrial consumption using multi-hybrid forecast models
Z Pala - Energy, 2023 - Elsevier
Accurate natural gas consumption forecasting plays a significant role in production, supply,
and dispatching. Therefore, in this study, a new multi-hybrid model methodology is proposed …
and dispatching. Therefore, in this study, a new multi-hybrid model methodology is proposed …