[HTML][HTML] Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet

ME Mondejar, R Avtar, HLB Diaz, RK Dubey… - Science of The Total …, 2021 - Elsevier
Digitalization provides access to an integrated network of unexploited big data with potential
benefits for society and the environment. The development of smart systems connected to …

[HTML][HTML] Application of machine learning tools for energy efficiency in industry: A review

DAC Narciso, FG Martins - Energy Reports, 2020 - Elsevier
The current industrial context favors the generation of large amounts of data, most of which
still seems to remain unexplored by the majority of enterprises. This paper presents a …

[HTML][HTML] A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016

A Emrouznejad, G Yang - Socio-economic planning sciences, 2018 - Elsevier
In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

Integrated assessment of a sustainable microgrid for a remote village in hilly region

A Kumar, AR Singh, Y Deng, X He, P Kumar… - Energy conversion and …, 2019 - Elsevier
The complexity in the design of sustainable microgrids based on renewable energy sources
have increased recently due to the involvement of multiple performance indices, scenarios …

Supervised based machine learning models for short, medium and long-term energy prediction in distinct building environment

T Ahmad, H Chen, R Huang, G Yabin, J Wang, J Shair… - Energy, 2018 - Elsevier
The substantial measure of energy usage connected to the building atmosphere supports
and sustains power usage modeling diligence. Amongst the numerous strategies to …

[HTML][HTML] Prediction of small hydropower plant power production in Himreen Lake dam (HLD) using artificial neural network

AT Hammid, MHB Sulaiman, AN Abdalla - Alexandria engineering journal, 2018 - Elsevier
In develo** countries, the power production is properly less than the request of power or
load, and sustaining a system stability of power production is a trouble quietly. Sometimes …

Electrified steam cracking for a carbon neutral ethylene production process: Techno-economic analysis, life cycle assessment, and analytic hierarchy process

J Gu, H Kim, H Lim - Energy Conversion and Management, 2022 - Elsevier
Electrification is regarded as one of the solutions for decarbonization. To reduce the
emissions of carbon dioxide from the steam cracking which is a conventional ethylene …

Early warning modeling and analysis based on analytic hierarchy process integrated extreme learning machine (AHP-ELM): Application to food safety

ZQ Geng, SS Zhao, GC Tao, YM Han - Food Control, 2017 - Elsevier
Since the actual food safety monitoring data have characteristics of high-dimension,
complexity, discreteness and nonlinear properties, it is difficult to accurately predict the risk …

Digital twin-aided transfer learning for energy efficiency optimization of thermal spray dryers: leveraging shared drying characteristics across chemicals with limited …

S Bardeeniz, C Panjapornpon, C Fongsamut… - Applied Thermal …, 2024 - Elsevier
Efficient energy management is crucial for spray-drying units as it can substantially improve
product yield, reduce operating costs, and enhance energy utilization. However, due to …

Support vector regression modelling and optimization of energy consumption in carbon fiber production line

G Golkarnarenji, M Naebe, K Badii, AS Milani… - Computers & Chemical …, 2018 - Elsevier
The main chemical industrial efforts are to systematically and continuously explore
innovative computing methods of optimizing manufacturing processes to provide better …