Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities
(2024)
Journal Article
Alkhulaifi, N., Bowler, A. L., Pekaslan, D., Serdaroglu, G., Closs, S., Watson, N. J., & Triguero, I. (2024). Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities. IEEE Access, 12, 153935-153951. https://doi.org/10.1109/access.2024.3482572
As energy demands and costs rise, enhancing energy efficiency in Food and Drink Cold Storage (FDCS) rooms is important for reducing expenses and achieving environmental sustainability ambitions. Forecasting electricity use in FDCSs can help optimise... Read More about Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities.