Probabilistic real-time deep-water natural gas hydrate dispersion modeling by using a novel hybrid deep learning approach
出版年份 2020 全文链接
标题
Probabilistic real-time deep-water natural gas hydrate dispersion modeling by using a novel hybrid deep learning approach
作者
关键词
Marine natural hydrate gas, Probabilistic dispersion modeling, Convolution variational autoencoder, Variational Bayesian neural network, Uncertainty estimation of spatial features, Digital twin of emergency management
出版物
ENERGY
Volume 219, Issue -, Pages 119572
出版商
Elsevier BV
发表日期
2020-12-13
DOI
10.1016/j.energy.2020.119572
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Evaluation and comparison of gas production potential of the typical four gas hydrate deposits in Shenhu area, South China sea
- (2020) Li Huang et al. ENERGY
- Stochastic explosion risk analysis of hydrogen production facilities
- (2020) Jihao Shi et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Performance enhancement of energy extraction capability for fuel cell implementations with improved Cuckoo search algorithm
- (2020) Mustafa İnci et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization
- (2020) R. Ahmed et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems
- (2020) Abdelmalek Kouadri et al. RENEWABLE ENERGY
- Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination
- (2020) Abdullah Caliskan et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Optimal configuration of concentrating solar power in multienergy power systems with an improved variational autoencoder
- (2020) Yuchen Qi et al. APPLIED ENERGY
- CFD simulation of exhaust gases jet from aircraft engine
- (2020) Kateryna Synylo et al. ENERGY
- Enhanced gas production by forming artificial impermeable barriers from unconfined hydrate deposits in Shenhu area of South China sea
- (2020) Ermeng Zhao et al. ENERGY
- Evaluation and improvement of energy consumption prediction models using principal component analysis based feature reduction
- (2020) Tarannom Parhizkar et al. JOURNAL OF CLEANER PRODUCTION
- Artificial Bee Colony based Bayesian Regularization Artificial Neural Network Approach to Model Transient Flammable Cloud Dispersion in Congested Area
- (2019) Jihao Shi et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Day-ahead spatiotemporal solar irradiation forecasting using frequency-based hybrid principal component analysis and neural network
- (2019) Hai Lan et al. APPLIED ENERGY
- Investigation of the consequence of high-pressure CO2 pipeline failure through experimental and numerical studies
- (2019) Xiong Liu et al. APPLIED ENERGY
- Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
- (2019) Hui Liu et al. ENERGY CONVERSION AND MANAGEMENT
- Process monitoring using variational autoencoder for high-dimensional nonlinear processes
- (2019) Seulki Lee et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Ensemble spatiotemporal forecasting of solar irradiation using variational Bayesian convolutional gate recurrent unit network
- (2019) Yongqi Liu et al. APPLIED ENERGY
- Experimental investigation on the decomposition characteristics of natural gas hydrates in South China Sea sediments by a micro-differential scanning calorimeter
- (2019) Shihui Ma et al. APPLIED ENERGY
- The effects of compressibility of natural gas hydrate-bearing sediments on gas production using depressurization
- (2019) Xiang Sun et al. ENERGY
- Combined electricity-heat-cooling-gas load forecasting model for integrated energy system based on multi-task learning and least square support vector machine
- (2019) Zhongfu Tan et al. JOURNAL OF CLEANER PRODUCTION
- Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model
- (2019) Yongqi Liu et al. APPLIED ENERGY
- Convolutional Graph Autoencoder: A Generative Deep Neural Network for Probabilistic Spatio-Temporal Solar Irradiance Forecasting
- (2019) Mahdi Khodayar et al. IEEE Transactions on Sustainable Energy
- Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data
- (2018) Cheng Fan et al. APPLIED ENERGY
- Toxic gas release modeling for real-time analysis using variational autoencoder with convolutional neural networks
- (2018) Jonggeol Na et al. CHEMICAL ENGINEERING SCIENCE
- Supervised based machine learning models for short, medium and long-term energy prediction in distinct building environment
- (2018) Tanveer Ahmad et al. ENERGY
- Probability density forecasting of wind power using quantile regression neural network and kernel density estimation
- (2018) Yaoyao He et al. ENERGY CONVERSION AND MANAGEMENT
- Classification of high resolution hyperspectral remote sensing data using deep neural networks
- (2018) Mehmet Emin Yuksel et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Robust data-driven model to study dispersion of vapor cloud in offshore facility
- (2018) Jihao Shi et al. OCEAN ENGINEERING
- Methane hydrates: Nucleation in microporous materials
- (2018) Eduardo Andres-Garcia et al. CHEMICAL ENGINEERING JOURNAL
- Forecasting degradation rates of different photovoltaic systems using robust principal component analysis and ARIMA
- (2017) Elena Pieri et al. IET Renewable Power Generation
- Surrogate modelling for enhancing consequence analysis based on computational fluid dynamics
- (2017) Y.Y. Loy et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Variational Inference: A Review for Statisticians
- (2017) David M. Blei et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Auto-encoder based dimensionality reduction
- (2016) Yasi Wang et al. NEUROCOMPUTING
- Numerical modelling of gas dispersion using OpenFOAM
- (2016) Juliane Fiates et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting
- (2016) Federica Davò et al. SOLAR ENERGY
- Source strength and dispersion of CO2 releases from high-pressure pipelines: CFD model using real gas equation of state
- (2014) Xiong Liu et al. APPLIED ENERGY
- Explosion modeling and analysis of BP Deepwater Horizon accident
- (2013) Mohammad Dadashzadeh et al. SAFETY SCIENCE
- CFD calculations of gas leak dispersion and subsequent gas explosions: Validation against ignited impinging hydrogen jet experiments
- (2010) Prankul Middha et al. JOURNAL OF HAZARDOUS MATERIALS
- Advanced CFD modeling on vapor dispersion and vapor cloud explosion
- (2010) Anna Qiao et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Validation of CFD-model for hydrogen dispersion
- (2009) Prankul Middha et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now