Electricity technological mix forecasting for life cycle assessment aware scheduling

• Main Authors: Cornago, S., Vitali, A., Brondi, C., Low, J.S.C.
• Other Authors: MECHANICAL ENGINEERING
• Format: Conference or Workshop Item
• Published: Elsevier B.V. 2021
• Subjects: Deep learning; Energy efficiency; Energy management; Machine learning; PEF; Product Environmental Footprint; Scheduling
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/197370
• Institution: National University of Singapore

10.1016/j.procir.2020.01.099