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Predicting Energy Usage in a Supermarket
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Very little is known about the energy using systems in commercial and retail stores, which consume 24.8% of the energy used by all commercial buildings. This paper describes development of a change-point regression model for predicting the hourly and daily electrical use of a supermarket. Operational improvements already identified with the model can save the store over 4% of their electricity cost annually. Further analysis is expected to save the store additional energy costs.
Schrock, D. W.; Claridge, D. E. (1989). Predicting Energy Usage in a Supermarket. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from