Energy consumption management can prevent nonessential consumptions which cause unexpected costs especially in the industry and commercials. Understanding the energy consumption profile and detecting equipment or behaviors which cause high and unnecessary consumption helps to manage energy consumption more efficiently.

We develop ML-based models for energy disaggregation that predict energy consumption for each end-use such as air conditioner, industrial motors, light bulbs etc. Understanding the energy consumption profile will increase the awareness that will lead the efficient use of energy to decrease amount of invoice.