Author:
Sukarti Suziee,Sulaima Mohamad Fani,Kadir Aida Fazliana Abdul,Shamsor Muhamad Hafizul,Yao Siaw Wei
Reference87 articles.
1. Optimization of energy efficiency in smart manufacturing through the application of cyber-physical systems and industry 4.0 technologies;Matsunaga;J. Energy Resour. Technol. Trans. ASME,2022
2. Learning deep multimanifold structure feature representation for quality prediction with an industrial application;Liu;IEEE Trans. Ind. Informatics,2022
3. Context-enriching feature selection method for industrial machine learning;Abukwaik;IEEE Int. Conf. Ind. Informatics,2022
4. K. Oh, E. J. Kim, and C. Y. Park, “A Physical Model-Based Data-Driven Approach to Overcome Data Scarcity and Predict Building Energy Consumption,” Sustain. 2022, Vol. 14, Page 9464, vol. 14, no. 15, p. 9464, Aug. 2022, doi: 10.3390/SU14159464.
5. K. Rawal, A. Ahmad, “Feature Selection for Electrical Demand Forecasting and Analysis of Pearson Coefficient,” Proc. 2021 IEEE 4th Int. Electr. Energy Conf. CIEEC 2021, May 2021, doi: 10.1109/CIEEC50170.2021.9510614.