Missing Value Estimation of Energy Consumption of Multi-Unit Air Conditioners using Artificial Neural Networks

This paper proposes a method to retrieve the missing data of power consumption of multi-unit air conditioners by using Artificial Neural Networks (ANN). The problem of missing data may occur from a sensor, a microcontroller or a communication problem. We have to retrieve the missing data in order that we can use them to find a solution to improve the efficiency of energy usage in a building. The proposed method uses related data with the missing data i.e. behavior of other air conditioners, a different temperature among inside, outside, and air conditioner pad controls setting value to feed the ANN model. Effectiveness of the proposed method is evaluated by comparison with other state of art classification algorithms.