A novel hybrid analysis and modeling approach applied to aluminum electrolysis process

Berg, Lundby, Erlend Torje; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar J.

doi:10.1016/j.jprocont.2021.06.005

Cited by 23 publications

(5 citation statements)

References 35 publications

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“…Figs. 14 and 15 indicate that the forecasts of sparse and dense models are showing similar performance for the first time steps after they are given the initial conditions. However, while the forecasts calculated by sparse models show a consistently slow drift from the simulated values of x, the mean and standard deviation of forecasts calculated by dense models suddenly drifts they are showing good forecasting capabilities in a broader region than the dense DNN models.…”

Section: Comparison Of Sparse and Dense Rolling Forecastmentioning

confidence: 92%

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Sparse Deep Neural Networks for Modeling Aluminum Electrolysis Dynamics

et al. 2022

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Section: Comparison Of Sparse and Dense Rolling Forecastmentioning

confidence: 92%

“…In [8,12,13], the equations known from PBM are augmented by a corrective source term generated by a DNN. In [14], the prediction of a PBM is subtracted from a coarse simulation to obtain residual measurements. A compressed sensing algorithm uses these residual measurements to model the unknown disturbance signal of the dynamics.…”

Section: Introductionmentioning

confidence: 99%

Sparse Deep Neural Networks for Modeling Aluminum Electrolysis Dynamics

et al. 2022

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“…There is a strong supply-side bias in the literature on this topic, which is consistent with the focus of our research. A recent study by (Lundby et al 2021 ) examined how green bond issuance statements affected SCM activities, which in turn influenced the social and environmental initiatives undertaken by Chinese listed companies. According to (Hao et al 2021 ), the trading in green bonds has a greater environmental influence that makes it easier to adopt and spread clean and sustainable energy throughout a country.…”

Section: Literature Reviewmentioning

confidence: 99%

Does supply chain matter for environmental firm performance: mediating role of financial development in China

Zhao

Luo

Liu

2022

Econ Change Restruct

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The purpose of this research is to understand the impact of technological innovation on corporate social responsibility and corporate environmental performance, as well as the difference in the measurement of this impact between domestic and foreign companies. Supply chain management is an essential tool to promote environmentally sustainable manufacturing by owning green products, green supply chain management and green manufacturing processes, believes that companies should participate in inappropriate policies, assessments, practices and activities while achieving all components of economy, environment, charity and ethics. The hierarchical regression model is used to analyse 175 small and medium enterprises samples. The survey results show that technological innovation will affect environmental performance and will also have a positive impact on company performance. Efficient companies can bring greater financial success, which not only supports economic community projects but also supports social welfare. Innovating through the participation of management and employees in environmental protection practices can not only improve the company’s performance but also enhance the company’s image among stakeholders. The findings of this article strengthen existing theories and help establish sustainable practices in Chinese and other developing and developed countries.

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“…Banking supplies must be geared toward the requirements of corporates in an attempt to develop commercial potential and attain community fellowship in order to accommodate citizens into economic institutions. As a result, according to (Lundby et al, 2021), financial instruments like credit and savings lead to more high satisfaction and help everyone's macroeconomic circumstances throughout the globe. Constraints such as adverse selection, affordability, costs and benefits of the banking system, terrible financial literacy, distrust of the banking industry and peers must always be recognised and addressed in order to provide maximum progress in economic advancement (Hao et al, 2021;Cozad et al, 2015).…”

Section: Estimation Analysismentioning

confidence: 99%

Does Economic Development Impact CO2 Emissions and Energy Efficiency Performance? Fresh Evidences From Europe

et al. 2022

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Data from a survey of 21 European nations from 2006 to 2018 investigates the relationship between economic development and carbon dioxide emissions. The PCA of normalised factors is used to create three quantitative measures for financial intermediation dependent on the results of the study. When estimating the framework, we used the Hoechle method, which generates systematic deviation for linear panel styles that really are not homoskedasticity coherent and moreover resistant to broad types of cross-sectional dependency. We observe that earnings, resource utilization, industrialization, urbanisation, foreign direct investment, and the banking system all seem to have contributed to increased carbon dioxide emissions in the area. However, greater economic access appears to have resulted in a reduction in greenhouse gas emissions. In terms of quality, the results are resilient to a variety of alternative proxies for financial inclusions as well as acceptable changes to the conceptual framework. According to the empirical findings, there are currently no regulatory interactions linking increasing economic development and reducing carbon dioxide emissions at the national level. As a result, economic growth should be incorporated into the implementation of sustainable green economy plans at the municipal, provincial, and city levels, particularly to counteract the documented detrimental impact of higher carbon dioxide emissions associated with increased financial inclusion.

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A novel hybrid analysis and modeling approach applied to aluminum electrolysis process

Cited by 23 publications

References 35 publications

Sparse Deep Neural Networks for Modeling Aluminum Electrolysis Dynamics

Sparse Deep Neural Networks for Modeling Aluminum Electrolysis Dynamics

Does supply chain matter for environmental firm performance: mediating role of financial development in China

Does Economic Development Impact CO2 Emissions and Energy Efficiency Performance? Fresh Evidences From Europe

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