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Energy Optimization in Buildings Using Machine Learning Techniques: A Survey

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Document pages: 7 pages

Abstract: Energy is needed for the smooth and uninterruptible functioning of various day-to-day tasks in buildings (whether commercial or residential buildings). The routine activities within buildings like switching ON lights, controlling temperature by using Room heaters or Air conditioners and use of appliances in buildings like Computers and Printers in office buildings, Microwaves, Water Heaters, Washing Machines in residential and hotel buildings, all consume energy. In commercial buildings a large portion of the total energy is consumed by HVAC (Heating, Ventilation and Air Conditioning) plant. To make sure that all these appliances operate smoothly in present time and in future, it is very important that energy should be optimized, i.e. it should be used as efficiently as possible. This paper presents a systematic survey of the previous work done in the field of Energy Optimization in buildings using Machine Learning techniques.

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