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The influence of AI application on carbon emission intensity of industrial enterprises in China. [PDF]

open access: yesSci Rep
As a critical aspect of the industry 4.0 era, the application of artificial intelligence (AI) is significant to environmental governance. It serves as a crucial driving force in assisting enterprises in the transition toward low-carbon practices.
Lu Y, Liao Z.
europepmc   +2 more sources

Understanding the Green Development Behavior and Performance of Industrial Enterprises (GDBP-IE): Scale Development and Validation. [PDF]

open access: yesInt J Environ Res Public Health, 2020
Industrial enterprises have provided outstanding contributions to economic development in countries around the world. The green development of industrial enterprises has received widespread attention from researchers. However, existing research lacks the
Li X, Du J, Long H.
europepmc   +2 more sources

Mechanism for Green Development Behavior and Performance of Industrial Enterprises (GDBP-IE) Using Partial Least Squares Structural Equation Modeling (PLS-SEM). [PDF]

open access: yesInt J Environ Res Public Health, 2020
Although the theory of green development behavior and performance of industrial enterprises (GDBP-IE) reveals that the green development behavior (GDB) of industrial enterprises is affected by internal and external factors and produces performance, it ...
Li X, Du J, Long H.
europepmc   +2 more sources

Assessing Regional Differences in Green Innovation Efficiency of Industrial Enterprises in China. [PDF]

open access: yesInt J Environ Res Public Health, 2019
Green technology innovation is an important means to break out of the constraints of resources and the environment, enhance the competitiveness of enterprises, and achieve the upgrading of industrial structures, and promote high-quality economic growth ...
Du JL, Liu Y, Diao WX.
europepmc   +2 more sources

Study and implementation of space vector pulse width modulation inverter on an arduino [PDF]

open access: yesE3S Web of Conferences, 2021
Three-phase two-level inverters using space vector modulation (SVPWM) technology are one of the most popular inverter architectures today. The process of designing and manufacturing inverter systems usually goes through the following stages: simulation ...
Doan Ngoc Sy   +2 more
doaj   +1 more source

SYSTEMS AND ARCHITECTURAL SUPPORT FOR OPEN DATA PRINCIPLES: A MARINE EARTH OBSERVATION PERSPECTIVE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
The GMES and Africa, MarCOSIO project, promotes the sustainable management of marine resources, improves marine governance, and stimulates the growth of the blue economy in the Southern African and Indian ocean region.
B. Sibolla   +4 more
doaj   +1 more source

Experimental assessment of harmonic contributions using a ternary pulse sequence [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2021
Harmonic contributions of utility and customer may feature significant variations due to network switchings and changing operational modes. In order to correctly define the impacts on the grid voltage distortion the frequency dependent impedance
Bulycheva Evgeniia, Yanchenko Sergey
doaj   +1 more source

Real-time harmonic identification under varying grid conditions [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2021
One of the challenges of the power quality management is a need for reliable harmonic identification in grids with multiple non-linear loads. This paper proposes a novel method to accurately determine time-varying harmonic contributions of non ...
Bulycheva Evgeniia A.   +1 more
doaj   +1 more source

A method for determining arc breakdown in low-voltage electrical networks [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2023
In low voltage distribution networks, there is a high risk of fires caused by wiring faults that lead to short circuits. Arcing protection devices (ARCs) already exist, but experiments show that they also often do not disable such faults.
Rashevskaya Marina   +3 more
doaj   +1 more source

AutoElbow: An Automatic Elbow Detection Method for Estimating the Number of Clusters in a Dataset

open access: yesApplied Sciences, 2022
The elbow technique is a well-known method for estimating the number of clusters required as a starting parameter in the K-means algorithm and certain other unsupervised machine-learning algorithms.
Adeiza James Onumanyi   +3 more
doaj   +1 more source

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