Paper Title
Linear Model To Predict Energy Consumption Using Historical Data From cold Stores
Abstract
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