Analysis of energy saving potentials in intelligent manufacturing: A case study of bakery plants
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DOI: 10.1016/j.energy.2019.01.044
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Cited by:
- Alessandra Cantini & Leonardo Leoni & Filippo De Carlo & Marcello Salvio & Chiara Martini & Fabrizio Martini, 2021. "Technological Energy Efficiency Improvements in Cement Industries," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
- Elsa Chaerun Nisa & Yean-Der Kuan & Chin-Chang Lai, 2021. "Chiller Optimization Using Data Mining Based on Prediction Model, Clustering and Association Rule Mining," Energies, MDPI, vol. 14(20), pages 1-14, October.
- Marco Briceño-León & Dennys Pazmiño-Quishpe & Jean-Michel Clairand & Guillermo Escrivá-Escrivá, 2021. "Energy Efficiency Measures in Bakeries toward Competitiveness and Sustainability—Case Studies in Quito, Ecuador," Sustainability, MDPI, vol. 13(9), pages 1-20, May.
- Urbano, Eva M. & Martinez-Viol, Victor & Kampouropoulos, Konstantinos & Romeral, Luis, 2022. "Risk assessment of energy investment in the industrial framework – Uncertainty and Sensitivity Analysis for energy design and operation optimisation," Energy, Elsevier, vol. 239(PA).
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Keywords
Energy monitoring; Clustering; Energy efficiency; Job shop scheduling;All these keywords.
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