Deployment of ML Techniques for Optimization of Energy in Residential & Commercial Structures: A Review

Every aspect of daily life in buildings (whether commercial or residential) relies on a constant supply of energy. Energy is used whenever a building’s lights are turned on, the temperature is adjusted (using space heaters or air conditioners), or a device is used (such as a computer or printer in an office building or a microwave, water heater, or washing machine in a home or hotel). The HVAC (Heating, Ventilating, and Air Conditioning) system of a commercial building is responsible for a significant percentage of the structure’s overall energy use. In order to keep all these devices running properly in present and in the coming years, it is crucial that fuel is enhanced or used as effectively as possible. This study provides a comprehensive review of the literature on the use of Machine Learning techniques to the problem of energy optimization in buildings.