Towards more accurate and explainable supervised learning-based prediction of deliverability for underground natural gas storage

Ensemble Learning Applications in Multiple Industries: A Review

“…Research has also made contribution to some of the industry's problems. i.e., More accurate and explanatory model is proposed for natural gas storage deliverability by support vector regression (SVR), artificial neural network (ANN), and random forest (RF) algorithms [53]. XGBoost, LightGBM, and multilayer perceptron (MLP) application to support both flexible and constrained modes of operation [54].…”

Feature Attribution Analysis to Quantify the Impact of Oceanographic and Maneuverability Factors on Vessel Shaft Power Using Explainable Tree-Based Model

“…Numerous studies utilizing machine learning-based methodologies have been expanded with the aided Explainable Artificial Intelligence (XAI) approach to assist in better decision-making processes. This approach is making its way into a wide variety of domains, including education [ 18 ]; lithology [ 19 ] and geology [ 20 ]; social science [ 21 ]; construction engineering [ 22 , 23 ]; transportation [ 24 ] and smart cities [ 25 ]; healthcare [ 26 ] and medical [ 27 ]; mass media and entertainment [ 28 ]; tourism, travel, and hospitality [ 29 ]; supply chain management and manufacturing [ 30 ]; law enforcement [ 31 ] and legal [ 32 ]; information technology [ 33 ]; and financial services [ 34 , 35 ]. Overall, the research utilizing XAI to explain their machine learning model stated that it provides transparency of how the machine learning model produces its decision.…”

Molecular Simulation of H2/CH4 Mixture Storage and Adsorption in Kaolinite Nanopores for Underground Hydrogen Storage

“…Hydrogen has been recognized as one of the most potential renewable energies in recent years. − However, the direct usage of pure hydrogen remains a challenge due to the concern for safety and vast investment of hydrogen transportation and storage. − Therefore, it has been proposed to add hydrogen into the existing natural gas transportation and storage systems as the addition of a hydrogen fraction below 20% proved to cause no major effect on the pipeline and gas storage facilities. − Thus, the hydrogen is inevitably injected into the underground gas reservoirs, which are often used for the seasonal storage of natural gas. , However, the mechanism of the H 2 /CH 4 mixture in the underground porous reservoirs is unclear, and it is essential to understand the storage and adsorption capacity of the gas mixture in the reservoir pores before hydrogen is blended into the natural gas system.…”