Linear Model To Predict Energy Consumption Using Historical Data From cold Stores
This study wasdeveloped to predict energy consumption, based on the amount fruit stored and
environmental factors, using a multiple linear regression model (MLR) in a New Zealand cold store. In this
study, linear regression models of a cold storewereselected to show the capability of simple models to reduce
margins of error in energy auditing projects. The final MLRmodels developed were based on
weeklynumbersavocado and kiwifruit bins and outside temperatures. The comparison between different models
demonstrated the amount of stored fruits have more sensitivity than the outside temperatures in cold stores.
Comparing actual and predicted energy usage in the studied cold store showed that the MLR model could be
fitted to energy usage data and accounted for around 79% of the variance.
Keywords- Energysaving, Energy Auditing,Modelling, Cold Store