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A step towards digital operations -- A novel grey-box approach for modelling the heat dynamics of Ultra-low temperature freezing chambers
In addition, the model for local evaporator temperature can effectively adapt to different operational patterns and provide insight into the local cooling supply status.
Estimation of Evaporator Valve Sizes in Supermarket Refrigeration Cabinets
It is demonstrated using monitoring data from a refrigeration system in a supermarket consisting of data sampled at a one-minute sampling rate, however it is shown that a sampling time of around 10-20 minutes is adequate for the method.
onlineforecast: An R package for adaptive and recursive forecasting
Users can create new models for their particular applications and run models in an operational setting.
Short-Term Forecasting of CO2 Emission Intensity in Power Grids by Machine Learning
The analysis was done on data set comprised of a large number (473) of explanatory variables such as power production, demand, import, weather conditions etc.
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