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Reassessment of industrial eco-efficiency in China under the sustainable development goals: A meta two-stage parallel entropy dynamic DDF-DEA model
L Yang, S Chen, Y Chiu, TH Chang, Y Wang - Journal of Cleaner …, 2024 - Elsevier
As the path of industrial eco-efficiency (IEE) needs to be re-examined from a multi-
dimensional perspective, this research opens the internal “black box” of China's industrial …
dimensional perspective, this research opens the internal “black box” of China's industrial …
Macroeconomic determinants of economic development and growth in Ukraine: logistic regression analysis
L Zomchak, I Starchevska - … on Computer Science, Digital Economy and …, 2022 - Springer
Reconstruction of the Ukrainian economy will require a plan, financing and management of
the funds distribution process. The binary logit model of economic growth for the Ukrainian …
the funds distribution process. The binary logit model of economic growth for the Ukrainian …
On the utilization of artificial intelligence for studying and multi-objective optimizing a compressed air energy storage integrated energy system
The field of utilizing machine learning algorithms and artificial intelligence for studying and
optimizing compressed air energy storage integrated energy systems with solid oxide fuel …
optimizing compressed air energy storage integrated energy systems with solid oxide fuel …
[HTML][HTML] Optimizing the neural network loss function in electrical tomography to increase energy efficiency in industrial reactors
This paper presents innovative machine-learning solutions to enhance energy efficiency in
electrical tomography for industrial reactors. Addressing the key challenge of optimizing the …
electrical tomography for industrial reactors. Addressing the key challenge of optimizing the …
Energy consumption forecast model of CNC machine tools based on support vector regression optimized by improved artificial hummingbird algorithm
J Du, Y Wang, Z Ji - … of Mechanical Engineers, Part I: Journal …, 2024 - journals.sagepub.com
With the development of the manufacturing industry, energy consumption is growing rapidly,
which makes the energy crisis and environmental problems become more and more …
which makes the energy crisis and environmental problems become more and more …
Prediction of pollutant emission characteristics in ISO50001 energy management in the Americas: Uni and multivariate machine learning approach
The American continent is experiencing significant economic and industrial development
driven by sustainability principles. In this context, discussions on improving energy …
driven by sustainability principles. In this context, discussions on improving energy …
A novel technology-explicit framework for predicting the efficiency of industrial device retrofits in stock turnover models with a case study of the pulp and paper sector
CG Owttrim, M Davis, A Kumar - Energy Efficiency, 2023 - Springer
When replacing equipment at its end of life, industries often have the option to select higher
efficiency technologies. The choice to invest in an improved piece of equipment rather than …
efficiency technologies. The choice to invest in an improved piece of equipment rather than …
Application of the Fuzzy Nonlinear Model to Investigate the Factors Affecting Energy Consumption and Efficiency in Iran
M Bahmani, R Ashraf Ganjoui… - Quarterly Journal of …, 2024 - jqe.scu.ac.ir
EXTENDED ABSTRACT INTRODUCTION Today, in the economies of all countries, both
developed and develo**, increasing productivity and optimal energy consumption has …
developed and develo**, increasing productivity and optimal energy consumption has …
A Data Driven Approach for Energy Assessment of Industrial Facilities
AM Callinan - 2022 - repository.fit.edu
Energy use worldwide has been increasing at an exponential rate for the past several
decades. As a result, the demand for energy has put a heavy strain on the world's climate …
decades. As a result, the demand for energy has put a heavy strain on the world's climate …