Economic and Production-Related Implications for Industrial Energy Efficiency: A Logistic Regression Analysis on Cross-Cutting Technologies

Autor: Neves, FDO, Ewbank, H, Roveda, JAF, Trianni, A, Marafão, FP, Roveda, SRMM

Increased industrial energy efficiency (EE) has become one of the main environmental actions to mitigate carbon dioxide (CO2) emissions, contributing also to industrial competitiveness, with several implications on the production system and cost mana

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::63ad85d8032ec7710419ccd964a76c88
https://hdl.handle.net/10453/166951

Prediction of pollutant emission characteristics in ISO50001 energy management in the Americas: Uni and multivariate machine learning approach.

Autor: de Oliveira Neves F; Exact Science Institute, Environmental Science Department, Federal University of Alfenas, Alfenas, Minas Gerais State, Brazil. Electronic address: fabiooneves@gmail.com.br., Salgado EG; Exact Science Institute, Federal University of Alfenas, Alfenas, Minas Gerais State, Brazil., de Figueiredo EC; Faculty of Pharmaceutical Sciences, Federal University of Alfenas, Alfenas, Minas Gerais State, Brazil., Sampaio P; Department of University of Minho, School of Engineering, ALGORITMI Research Centre, Portugal., Marafão FP; Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba, São Paulo State, Brazil.

Publikováno v: The Science of the total environment [Sci Total Environ] 2024 Nov 01; Vol. 949, pp. 174797. Date of Electronic Publication: 2024 Jul 20.