I’m working on the multilinear regression to predict the energy consumption in the office. My independents' variables are relative humidity, ambient temperature, and the surfaces temperature. I’m trying to create a model by using multilinear regression to predict the energy consumption for air conditioning system. Since I have more 14 potential variables, my initial assumption, I believe I can use multilinear regression.

The spikes in the data are not useful because the compressor needs more energy to start before it can run in normal mode. For the energy, the calculation is in Watt/hour (average of energy in 1 hour). However, my data is in every minute. What I have done so far is to use exponential smoothing to remove the spikes and allow regression analysis to predict the correct model, but I’m not sure whether the method is correct.